ALBERT

Description: In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic and geometric aggregation operators with hesitant fuzzy linguistic information. Then, motivated by the ideal of traditional arithmetic and geometric operation, we have developed some aggregation operators for aggregating hesitant fuzzy linguistic information: hesitant fuzzy linguistic arithmetic aggregation operators, hesitant fuzzy linguistic geometric aggregation operators, hesitant fuzzy linguistic correlated aggregation operators, induced hesitant fuzzy linguistic aggregation operators, induced hesitant fuzzy linguistic correlated aggregation operators, hesitant fuzzy linguistic prioritized aggregation operators, hesitant fuzzy linguistic power aggregation operators. Then, we have utilized these operators to develop some approaches to solve the hesitant fuzzy linguistic multiple attribute decision making problems. Finally, a practical example is given to verify the developed approach. Content Type Journal Article Pages - DOI 10.3233/IFS-130977 Authors Rui Lin, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Xiaofei Zhao, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Hongjun Wang, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Guiwu Wei, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In a process using monitoring with p-control charts or np-control charts, due to the uncertainty of the attribute data, traditional control charts may be insufficient. In this case, fuzzy control charts are pertinent control techniques used to capture vagueness. Many studies in the literature are configured with transformation techniques at the decision stage, and in this study, fuzzy control charts are constructed using rules. Therefore, fully fuzzy control charts are first introduced for fuzzy [( p )\tilde]-control charts based on constant sample size and variable sample size, and fuzzy n [( p )\tilde]-control charts are subsequently introduced using decision rules for the process state conditions. Therefore, “rather in control” and “rather out of control” decisions can be considered in monitoring of the process. Content Type Journal Article Pages - DOI 10.3233/IFS-130986 Authors Nihal Erginel, Industrial Engineering Department, Anadolu University, Eskisehir, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: As generalize of the hesitant fuzzy sets, hesitant interval-valued fuzzy sets (HIVFSs), which permits the memberships of an element to a given set having a few different interval values in [0,1] rather than real numbers, can be considered as a powerful tool to express uncertain information in the human decision making process. Based on the traditional Hamming distance, Euclidean distance, Hausdorff distance, and generalized distance, in this paper, we propose a variety of distance measures for hesitant interval-valued fuzzy sets, based on which the corresponding similarity measures can be obtained. We investigate the connections of the aforementioned distance measures and further develop a number of hesitant interval-valued ordered weighted distance measures and hesitant interval-valued ordered weighted similarity measures. They can alleviate the influence of unduly large (or small) deviations on the aggregation results by assigning them low (or high) weights. Finally, we shall present a numerical example to show potential evaluation of emerging technology commercialization with hesitant interval-valued fuzzy information in order to illustrate the method proposed in this paper. Content Type Journal Article Pages - DOI 10.3233/IFS-130975 Authors Guiwu Wei, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Rui Lin, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Hongjun Wang, Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Optimal capacitor placement problem is a significant and precious strategy which can be supposed as an always appropriate solution to reduce the operating costs in the power systems. Nevertheless, as the result of nonlinear and discrete characteristics of this problem, traditional optimization methods can not solve it effectively. Therefore, this paper proposes a novel optimization framework based on shuffled frog leaping algorithm (SFLA) to solve the optimal capacitor placement and sizing problem properly. In this regard, a new modification approach based on the mutation and crossover operators is suggested to improve the local search ability of this algorithm. The effectiveness and satisfying performance of the proposed method is assessed on two IEEE test systems. Comparative results sow the superiority of the proposed optimization method than the other popular methods in the area. Content Type Journal Article Pages - DOI 10.3233/IFS-130997 Authors Mohammad-Reza Akbari-Zadeh, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran Mahdi Vosoogh, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran Mohammad Mirjavadi, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran Alireza Abbasi, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: This paper considers supply chain models with a manufacturer acting as the leader and two competitive retailers acting as followers under a fuzzy decision environment. The parameters of demand function and manufacturing cost are treated as the triangular fuzzy variables. Two retailers are assumed to pursue two kinds of competitive behavior: Cournot and Stackelberg. For each case, optimum policy of the expected value and two chance-constrained programming models are derived. Finally, a numerical example is provided to illustrate the results of proposed models. It is shown that in fuzzy models, the different competitive behaviors of two retailers do not affect the optimal pricing strategies of the manufacturer, and the confidence level of the profits for supply chain members affects the optimal sale price, wholesale price and profits. Content Type Journal Article Pages - DOI 10.3233/IFS-130994 Authors Shengju Sang, Department of Economics, Heze University, Heze, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Today, preference relations are among the most common types of expressing decision maker's preference information found in uncertainty research. Intuitionistic multiplicative preference relation can reflect our intuition more objectively and it was proposed by Xia et al. [20] recently. In this article, we first develop some aggregation operators for intuitionistic multiplicative numbers, such as the intuitionistic multiplicative weighted averaging operator and intuitionistic multiplicative ordered weighted averaging operator. Their desirable properties are also investigated in detail. Furthermore, based on the proposed aggregation operators, we further introduce a group decision making method based on intuitionistic multiplicative preference relations. Finally, a real example about personnel selection is given to illustrate the effectiveness of our method, the numeric comparison between our group decision making method and the ones of Xia et al. [20] are also provided. Content Type Journal Article Pages - DOI 10.3233/IFS-130984 Authors Dejian Yu, School of Information, Zhejiang University of Finance and Economics, Hangzhou, China Lincong Fang, School of Information, Zhejiang University of Finance and Economics, Hangzhou, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Artificial life uses biological knowledge and techniques to solve different engineering, management, control and computational problems. Natural systems teach us that very simple individual organisms can form systems capable of performing highly complex tasks by dynamically interacting with each other. In this study, artificial life based approaches are handled and incorporated to enable a real-time water level control. The process was first modelled using NARX type Artificial Neural Network. A fuzzy controller was then attached to the model. For a better performance, fuzzy controller membership function boundary values and action values were optimized simultaneously. The optimization process was performed using genetic algorithm and ant colony optimization algorithm, respectively. Finally, the performance of the controllers was discussed further by considering the system outputs. The developed structure replaces the tedious process of trial-and-error for better combination of fuzzy parameters and can settle the problem of designing fuzzy controller without an expert's experience. Content Type Journal Article Pages - DOI 10.3233/IFS-131003 Authors Turker Tekin Erguzel, Computer Engineering Department, Uskudar University, Uskudar, Istanbul, Turkey Erbil Akbay, Electronic–Computer Education Department, Marmara University, Technical Education Faculty, Kadikoy, Istanbul, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, we first introduce some operations on interval-valued intuitionistic fuzzy sets, such as Einstein sum, Einstein product, Einstein exponentiation, etc., and further develop the induced interval-valued intuitionistic fuzzy Einstein ordered weighted average (I-IVIFEOWA) operator. We also establish some desirable properties of this operator, such as commutativity, idempotency and monotonicity. Then, we apply the induced interval-valued intuitionistic fuzzy Einstein ordered weighted average(I-IVIFEOWA) operator based on the data mining to deal with multiple attribute decision making under interval-valued intuitionistic fuzzy environments. Finally, an illustrative example about selecting an ERP system is given to verify the developed approach and to demonstrate its practicality and effectiveness. Content Type Journal Article Pages - DOI 10.3233/IFS-131000 Authors Xuesen Cai, College of GeoExploration Science and Technology, Jilin University, Changchun, China Liguo Han, College of GeoExploration Science and Technology, Jilin University, Changchun, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, we introduce the notions of coatom and comolecule of BL-algebras, also we state and prove some theorems which determines their properties. Finally we investigate some results in co-annihilators and verify the relationship between comolecules with prime filters, coatoms with hyperarchimedean and investigate ^ F for some types of filters. Content Type Journal Article Pages - DOI 10.3233/IFS-131002 Authors Mahdieh Abbasloo, Department of Mathematics, Science and Research Branch Islamic Azad University, Kerman, Iran Arsham Borumand Saeid, Department of Mathematics, Shahid Bahonar University of Kerman, Kerman, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Ant colony optimization (ACO) inspires the foraging manner of real ants in digital habitat is a developed meta-heuristic algorithm in medical image processing. Magnetic resonance (MR) images usually contain irregular and complex structures. Applying ACO, the spatial information is exploited in image processing; however, ACO requires a supervisor to define reference food. Fuzzy c-means (FCM) is an unsupervised clustering algorithm used in medical image processing. Standard FCM seldom incorporates spatial information in image segmentation. This paper presents an Unsupervised ACO (UACO) developed by FCM which utilizes the benefits of two algorithms and overlaps their defects. UACO is unsupervised like FCM and incorporates spatial information the same way as ACO. Besides, elapsed time to define food source by FCM in UACO is less than that of an operator in ACO. Adding that, another novelty of the paper is to effectively update pheromone fields. Utilizing a Gaussian spatial function, proposed approach handles noise effects properly, and exploits spatial neighborhood information efficiently in image segmentation. Experimental results show that proposed hybrid UACO by the Gaussian spatial function preserves details of image and is less sensitive to noise. Content Type Journal Article Pages - DOI 10.3233/IFS-131008 Authors Abbas Biniaz, Faculty of Electrical Engineering, Computational Neuroscience Laboratory, Department of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran Ataollah Abbasi, Faculty of Electrical Engineering, Computational Neuroscience Laboratory, Department of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: This paper reviews some basic properties of fuzzy, rough and soft sets, and compares soft sets to the related concepts of fuzzy and rough sets. The definitions of soft set intersection and union are revised. The two are based on the Cartesian product of the sets of parameters. It illustrates that one could obtain other specific union and intersection by using some cutting operations to the Cartesian product. The definition of soft set complement is also revised. One is taken by a collection of sets instead of the previous rigid complement. By means of soft mapping proposed by Molodtsov, both fuzzy set and rough set may be considered as a special soft set with specific parameters and set-valued mapping. And then the basic operations of fuzzy and rough sets are reconsidered in the framework of soft sets. With the new insight into soft sets, their connections and differences between soft sets and fuzzy sets, soft sets and rough sets, are discussed. Content Type Journal Article Pages - DOI 10.3233/IFS-131010 Authors Zhi Xiao, School of Economics and Business Administration, Chongqing University, Chongqing, P.R. China Yuan Zou, School of Economics and Business Administration, Chongqing University, Chongqing, P.R. China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: The concepts of coverage and connectivity plays an important role in both theory and application of fuzzy graphs. In this paper a characterization of fuzzy detour g-eccentric node is obtained. The concepts of fuzzy detour g-boundary nodes and fuzzy detour g-interior nodes in a fuzzy graph are introduced. We demonstrate the relationship between fuzzy cut node and fuzzy detour g-boundary node. Also some properties of fuzzy detour g-boundary nodes, fuzzy detour g-interior nodes and complete nodes are discussed. Fuzzy detour g-interior node and fuzzy detour g-boundary node of a fuzzy tree are characterized using its maximum spanning tree. Content Type Journal Article Pages - DOI 10.3233/IFS-131011 Authors J.P. Linda, Department of Mathematics, National Institute of Technology, Calicut, India M.S. Sunitha, Department of Mathematics, National Institute of Technology, Calicut, India Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Throughout the paper it is shown that the classical definition of a fuzzy subset carries additional structures. The concept of a fuzzy subset is regarded from an alternative point of view: namely, the characteristic function of a fuzzy subset may be reinterpreted in terms of a Sincov's functional equation in two variables. Since the solutions of a Sincov's functional equation are also closely related to the existence of representable total preorders, an special attention is paid to the relationship between fuzzy subsets and total preorders defined on a universe. Some possible applications of this approach are pointed out in the final section of the manuscript. Content Type Journal Article Pages - DOI 10.3233/IFS-131005 Authors María Jesús Campión, Departamento de Matemáticas, Universidad Pública de Navarra, Campus Arrosadía, Pamplona, Spain Raquel G. Catalán, Departamento de Matemáticas, Universidad Pública de Navarra, Campus Arrosadía, Pamplona, Spain Esteban Induráin, Departamento de Matemáticas, Universidad Pública de Navarra, Campus Arrosadía, Pamplona, Spain Gustavo Ochoa, Departamento de Matemáticas, Universidad Pública de Navarra, Campus Arrosadía, Pamplona, Spain Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: This paper presents a hierarchical interactive particle swarm optimization (HIPSO) for solving the static multi objective optimal power flow (OPF) considering multi SVC controllers and dynamic economic dispatch (DED). This study introduces a variant of PSO using new mechanism search based dynamic adjustment of PSO parameters coordinated with a hierarchical strategy for reactive power planning stage to improve the performances of the original PSO in terms of solution quality and convergence characteristics. The HIPSO algorithm optimizes a combined control variables such as: active power generations, voltage control of generators, tap transformer and the reactive power of multi SVC Controllers installed at a specified buses to minimize fuel cost, total power loss and voltage deviation while satisfying the generators constraints and power system security. The proposed approach examined and applied to many practical test systems: IEEE 57-Bus, IEEE 118-Bus, 40 generating units and 10 generating units to solving; the static multi objective OPF with quadratic fuel cost function, the economic dispatch considering valve point effects and the dynamic economic dispatch considering both valve point effects and ramp rate limits. Simulation results compared to Matpower, to the standard PSO and others recent metaheuristic methods confirm the effectiveness of the proposed combined approach. Content Type Journal Article Pages - DOI 10.3233/IFS-131013 Authors Belkacem Mahdad, Department of Electrical Engineering, MSE Laboratory, Biskra University, Algeria Kamel Srairi, Department of Electrical Engineering, MSE Laboratory, Biskra University, Algeria Mohamed Benbouzid, University of Brest, Brest, France Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: We study the asymptotic behavior of the Schrödinger equation in the presence of a nonlinearity of Hartree type in the semi-classical regime. Our scaling corresponds to a weakly nonlinear regime where the nonlinearity affects the leading order amplitude of the solution without altering the rapid oscillations. We show the validity of the WKB-analysis when the potential in the nonlinearity is singular around the origin. No new resonant wave is created in our model, this phenomenon is inhibited due to the nonlinearity. The nonlocal nature of this latter leads us to build our result on a high-frequency averaging effects. In the proof we make use of the Wiener algebra and the space of square-integrable functions. Content Type Journal Article Pages 229-245 DOI 10.3233/ASY-131175 Authors Lounès Mouzaoui, Université Montpellier 2, Mathématiques, UMR 5149, CC 051, 34095 Montpellier, France. E-mail: lounes.mouzaoui@univ-montp2.fr Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 84 Journal Issue Volume 84, Number 3-4 / 2013

Description: The presence of small inclusions or of a surface defect modifies the solution of the Laplace equation posed in a reference domain Ω 0 . If the characteristic size of the perturbation is small, then one can expect that the solution of the problem posed on the perturbed geometry is close to the solution of the reference shape. Asymptotic expansion with respect to that small parameter – the characteristic size of the perturbation – can then be performed. We consider in the present work the case of two circular defects with homogeneous Dirichlet boundary conditions in a bidimensional domain, we distinguish the cases where the distance between the object is of order 1 and the case where it is larger than the characteristic size of the defects but small with respect to the size of the domain. In both cases, we derive the complete expansion and provide some numerical illustrations. Content Type Journal Article Pages 197-227 DOI 10.3233/ASY-131174 Authors V. Bonnaillie-Noël, ENS Rennes, University of Rennes 1, CNRS, UEB, Bruz, France. E-mail: bonnaillie@math.cnrs.fr M. Dambrine, IPRA, Université de Pau et des Pays de l'Adour, CNRS, Pau, France. E-mail: marc.dambrine@univ-pau.fr Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 84 Journal Issue Volume 84, Number 3-4 / 2013

Description: In this article, our goal is to prove the existence and uniqueness of solution for 1D and 2D semi-linear hyperbolic equations in a bounded domain with a monotone nonlinear term. We use elliptic regularization and a finite difference scheme in time to build the approximate solutions for the semi-linear hyperbolic equations, and we utilize the regularization method together with the monotonicity and convexity of the nonlinear term to show the existence of the resulting stationary problems. Finally, the existence of the solution for the evolution problem is done by studying the convergence of the approximate solutions and by using the standard Minty method, and the uniqueness is achieved. Content Type Journal Article Pages 123-146 DOI 10.3233/ASY-131168 Authors Aimin Huang, The Institute for Scientific Computing and Applied Mathematics, Indiana University, Bloomington, IN, USA Du Pham, The Institute for Scientific Computing and Applied Mathematics, Indiana University, Bloomington, IN, USA Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 84 Journal Issue Volume 84, Number 3-4 / 2013

Description: Interval type-2 fuzzy sets (IT2 FS) can provide us with more degrees of freedom to represent the uncertainty and the vagueness of the real world. In this paper, we investigate the fuzzy multi-attribute group decision making (FMAGDM) problems in which all the information provided by the decision makers (DMs) is expressed as IT2 FS, and the information about attribute weights is incomplete. We introduce the concepts of crisp possibility mean value and present a new method for calculating the possibility degree of two IT2 FS based on the interval-valued possibility mean values. Then, we propose a new method named maximizing deviations method for determine attribute weights information under interval type-2 fuzzy environment. Furthermore, we utilize the obtained attribute weights and the fuzzy possibility degree to fuse the IT2 fuzzy information in the collective IT2 fuzzy decision matrix to get the ranking values of all alternatives. A numerical example is given to illustrate the feasibility and effectiveness of the proposed method. Content Type Journal Article Pages - DOI 10.3233/IFS-130998 Authors Yanbing Gong, Department of Information Management, Hohai University, Changzhou, China Lanping Feng, Department of Information Management, Hohai University, Changzhou, China Gaofeng Liu, Department of Information Management, Hohai University, Changzhou, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: The fuzzy mathematical morphology extends the binary morphological operators to gray-scale and coloured images using concepts of fuzzy logic. To define the morphological operators of fuzzy erosion and dilatation it is used the implications and conjunctions respectively. This work presents an analysis of some R-implications to verify if the pairs of implications and T-norms (conjunctions) were adjunctions. It was used a fuzzy application developed in the Matlab for implementation and tests with the respectively results. Content Type Journal Article Pages - DOI 10.3233/IFS-130989 Authors Alexsandra Oliveira Andrade, Department of Computer Engineering and Automation, UFRN, Natal, RN, Brazil Roque Mendes Prado Trindade, Department of Exact Science and Technology, UESB, Vitória da Conquista, BA Deise Santana Maia, Department of Exact Science and Technology, UESB, Vitória da Conquista, BA Regivan Hugo Nunes Santiago, Department of Computer Science and Applied Mathematics, UFRN, Natal, RN, Brazil Ana Maria Guimarães Guerreiro, Department of Biomedical Engineering, UFRN, Natal, RN, Brazil Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Estimation of the Lyapunov Exponents of a chaotic dynamical system is highly dependent on the tools one may use. Function approximators such as artificial neural networks and polynomial based systems posses an approximation error which effectively impacts LEs precision. Thus, we look for an efficient tool in the approximation of partial derivatives of a function and the function is to be critical of importance. In this paper, the Adaptive Neuro-Fuzzy Inference System and its first order derivative are used to model the nonlinear behavior of the chaotic functions. The structures of the Neuro-Fuzzy system and its first-order derivative are constructed according to the training samples. Premise parameters and consequent parameters which have been initialized during a learning procedure are tuned by a deterministic chaotic-based genetic algorithm based on the Logistic map. Four non-linear chaotic dynamics are modeled with the proposed structure trained by the proposed chaotic genetic algorithm and the approximation capability of the proposed structure is studied. It has been shown that the chaotic behavior of the genetic algorithm enhances its capability in parameter tuning and structure optimization of a nonlinear network. Furthermore, the proposed method comprising the adaptive neuro-fuzzy network with its first order derivative is validated in modeling the chaotic behavior of four chaotic functions. Modeling error, optimization parameters and computation time are analyzed to verify the statements and presentations. Content Type Journal Article Pages - DOI 10.3233/IFS-130992 Authors Omid Khayat, Young Researchers Club, South Tehran Branch, Islamic Azad University, Tehran, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In general, weights of experts play a very important role in multi-attribute group decision-making (MAGDM), how to objectively determine experts' weights is an interesting research topic. Recently, many corresponding methods have been proposed to derive experts' weights, but none of them simultaneously capture the decision information from both the ranking and magnitude two aspects. This paper presents a novel approach for determining weights of experts in intuitionistic fuzzy group decision making based on consistency maximization by simultaneously considering the ranking and magnitude of decision information. The main contributions of this paper are threefold: (1) from the perspective of the ranking of decision information, the group ranking consistency (GRC) index is defined to measure the consistency between each individual decision and the ideal decision of group; (2) from the perspective of the magnitude of decision information, the group assessment consistency (GAC) index is also defined for measuring the consistency between each individual decision and the ideal decision of group; (3) a bi-objective linear programming model to determine the experts' weights is constructed on basis of the idea that the final results of MAGDM problem should be consistent and reflect the common will of the group to the greatest extent, which is solved by transforming into a parametric linear programming model using the weight average approach. Content Type Journal Article Pages - DOI 10.3233/IFS-130991 Authors Xiaolu Zhang, School of Economics and Management, Southeast University Nanjing, Jiangsu, China Zeshui Xu, School of Economics and Management, Southeast University Nanjing, Jiangsu, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Biomass is an important primary source of renewable energy source. Producer gas, a derivative of Biomass, comprises of tar and particulate content which is harmful and critical parameter for IC engine application, which influences the design of filter. Numerous researchers have developed various types of filter for gas cleaning system in order to reduce the tar content and particulate in producer gas. In this work, an experimental investigation has been carried out on the newly developed hybrid compact filter using two different feeds such as rice husk and wood. The experimental results obtained were used to justify the newly developed system with adaptive neuro-fuzzy inference system(ANFIS). The data has been collected taken from an experimental database of a 20 kW open core downdraft TNAU(Tamil Nadu Agricultural University)-modified gasifier with compact hybrid filter system. A comparison between the predictions of ANFIS model with other available model in literature is presented. The ANFIS results reveal that the model delivers the tar and particulate content with an accuracy of 99.98%. The test results prove the possibility to develop and evaluate an ANFIS based model to predict tar content and particulate for any filter design under varying input conditions. Content Type Journal Article Pages - DOI 10.3233/IFS-131004 Authors R. Rameshkumar, Department of Automobile Engineering, K.S.R College of Engineering, Tiruchengode, TN, India K. Mayilsamy, Department of Mechanical Engineering, Institute of Road and Transport Technology, Erode, TN, India Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Since Narasimhan's first application of Fuzzy Set Theory to Goal Programming (GP) in 1980, much research into fuzzy GP has been carried out. In fuzzy GP studies, although several researchers remained loyal to using the traditional GP representation, the majority have followed the fuzzy programming approach. Among fuzzy-programming-based studies, only the studies of Tiwari et al. and Lin seem applicable when the objectives have relative importance. However, both have disadvantages. Because the former model uses the add operator, some of the objectives may not be preferred at the optimal solution even they have heavy weights. The latter model is based on the max-min approach, which does not guarantee a non-dominated solution. In this study, a weighted Fuzzy GP model is presented to overcome these disadvantages, along with the shortcomings of other existing models. The model is modified from Lai and Hwang's augmented max-min model, which is guaranteed to reach a non-dominated solution. The superiority of the model over the existing approaches is demonstrated using numerical examples chosen from the literature. Content Type Journal Article Pages - DOI 10.3233/IFS-131001 Authors Feyzan Arikan, Industrial Engineering Department, Gazi University, Celal Bayar Boulevard, Maltepe-Ankara, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, we introduce the concept of fuzzy soft topogenous structure. Also, we investigate the natural connections between the fuzzy soft topogenous structure and the fuzzy soft uniformity structure. Content Type Journal Article Pages - DOI 10.3233/IFS-130993 Authors Vildan Çetkin, Department of Mathematics, Kocaeli University, Kocaeli, Turkey Halis Aygün, Department of Mathematics, Kocaeli University, Kocaeli, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, we give the definitions of a multi Q-fuzzy set and a multi Q-fuzzy parameterized soft (M k QFP-soft) set and their operations, namely complement, quality, subset, union, and intersection operations. We then propose a decision making method based on M k QFP-soft set theory. We finally give an example which shows that the method can be successfully applied to problems that contain uncertainties. Content Type Journal Article Pages - DOI 10.3233/IFS-131009 Authors Fatma Adam, Faculty of Science and Technology, School of Mathematical Sciences, Universiti Kebangsaan Malaysia, Bangi, Selangor, DE, Malaysia Nasruddin Hassan, Faculty of Science and Technology, School of Mathematical Sciences, Universiti Kebangsaan Malaysia, Bangi, Selangor, DE, Malaysia Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this article we introduce the concepts of D l m - statistical convergence of order β and strong D l p m - summability of order β for sequences of fuzzy numbers. Also, we establish some relations between the D l m - statistical convergence of order β and strong D l p m - summability of order β and we define w l b ( D m , F , f , p ), where f is a modulus function and give some inclusion relations. Content Type Journal Article Pages - DOI 10.3233/IFS-130869 Authors Abdulkadir Karakaş, Department of Mathematics, Siirt University, Siirt-Turkey Yavuz Altın, Department of Mathematics, Firat University, Elazığ-Turkey Hıfsı Altınok, Department of Mathematics, Firat University, Elazığ-Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: We present an infrastructure for describing and handling uncertainty and vagueness in a combination of Description Logics and rules in the Semantic Web. More concretely, we apply fuzzy set theory to hybrid MKNF knowledge bases, and establish fuzzy hybrid MKNF knowledge bases, which is sound with respect to the classical two-valued semantics. Furthermore, we discuss some fundamental properties of fuzzy semantics, and characterize fuzzy MKNF models of general MKNF knowledge bases. We also provide characterizations of fuzzy MKNF models of positive and stratified MKNF knowledge bases in terms of a fixpoint operator and an iterative fixpoint semantics, respectively. Finally, we describe a special case of fuzzy nondisjunctive positive MKNF knowledge base, in which the truth value of a modal atom can be computed in polynomial time in the data complexity. Content Type Journal Article Pages - DOI 10.3233/IFS-130854 Authors Shasha Huang, College of Mathematics and Econometrics, Hunan University, Changsha, Hunan, PR China Qingguo Li, College of Mathematics and Econometrics, Hunan University, Changsha, Hunan, PR China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper we introduce some new double sequence spaces of fuzzy real numbers by combining I-convergence, Orlicz function and four dimensional matrix and we examine some properties of the resulting sequences spaces of fuzzy numbers. Content Type Journal Article Pages - DOI 10.3233/IFS-130866 Authors Ekrem Savas, Department of Mathematics, Istanbul Commerce University, Uskudar-Istanbul, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Atanassov's intuitionistic fuzzy

Description: In this paper, the development of an improved Takagi Sugeno (TS) fuzzy model for identification and chaotic time series prediction of nonlinear dynamical systems is proposed. This model combines the advantages of fuzzy systems and Infinite Impulse Response (IIR) filters, which are autoregressive moving average models, to create internal dynamics with just the control input. The structure of Fuzzy Infinite Impulse Response (FIIR) is presented, and its learning algorithm is described. In the proposed model, the Butterworth analogue prototype filters are estimated using the obtained membership functions. Based on the founding orders of the analogue filters, the IIR filters could be constructed. The IIR filters are introduced to each TS fuzzy rule which produces local dynamics. Gustafson–Kessel (GK) clustering algorithm is used to generate the clusters which will be used to find the number of the IIR parameters for each rule. The hybrid genetic algorithm and simplex method are used to identify the consequence parameters. The stability of the obtained model is studied. To demonstrate the performance of this modeling method, three examples have been chosen. Comparative results between the FIIR model on one hand, and the traditional TS fuzzy model, the neural networks and the neuro-fuzzy network on the other hand. The results show that the proposed method provides promising identification results. Content Type Journal Article Pages - DOI 10.3233/IFS-130856 Authors Lyes Saad Saoud, Faculty of Sciences, Department of Physics, University M'hamed Bougara, Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (L.I.M.O.S.E), Boumerdes, Algeria Fayçal Rahmoune, Faculty of Sciences, Department of Physics, University M'hamed Bougara, Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (L.I.M.O.S.E), Boumerdes, Algeria Victor Tourtchine, Faculty of Sciences, Department of Physics, University M'hamed Bougara, Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (L.I.M.O.S.E), Boumerdes, Algeria Kamel Baddari, Faculty of Sciences, Department of Physics, University M'hamed Bougara, Laboratory of Computer Science, Modeling, Optimization and Electronic Systems (L.I.M.O.S.E), Boumerdes, Algeria Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Interval-valued hesitant fuzzy sets (IVHFSs), as an extension of hesitant fuzzy sets, can account for the membership degrees of an element to a given set having a few different interval values, which provides an intuitionistic description on the differences among decision makers. We derive the properties and relationships of fundamental operations on IVHFSs for Algebraic t-norm and t-conorm. Furthermore, we present the operations based on Archimedean t-norm and t-conorm and investigate their properties. The results obtained using the two types of t-norms and t-conorms could be useful for applications of IVHFSs in information aggregation and decision making. Content Type Journal Article Pages - DOI 10.3233/IFS-130985 Authors Na Chen, School of Economics and Management, Southeast University, Nanjing, Jiangsu, China Zeshui Xu, School of Economics and Management, Southeast University, Nanjing, Jiangsu, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: There are several methods in the literature to deal with the sensitivity analysis of fuzzy linear programming (FLP) problems. In this paper, the shortcomings of some existing methods are pointed out and to overcome these shortcomings, a new method is proposed to handle the sensitivity analysis of that kind of FLP problems in which the elements of the coefficient matrix of the constraints are represented by real numbers, and the remaining parameters are represented by symmetric trapezoidal fuzzy numbers. To the best of our knowledge, till now there is no method in the literature to deal with the sensitivity analysis of such FLP problems without converting them to the crisp linear programming problems. The advantages of the proposed method over existing methods are discussed. To illustrate the approach a numerical example is examined by using the proposed method and the obtained results are discussed. The method is easy to understand and to apply for dealing with the sensitivity analysis of the same problems occurring in real life situations. Content Type Journal Article Pages - DOI 10.3233/IFS-130987 Authors Ali Ebrahimnejad, Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran Jose Luis Verdagay, Department of Computer Science and A.I., CITIC. Universidad de Granada, Granada, Spain Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper a generalized form called fuzzy games on augmenting systems with fuzzy characteristic functions is introduced, where the player payoffs are fuzzy numbers, and their participation levels are real numbers in [0, 1]. Based on the defined restriction difference on fuzzy numbers, the explicit expression of the Shapley value is provided, and an axiomatic system is researched. Meantime, some properties are discussed. In order to better understand fuzzy games on augmenting systems with fuzzy characteristic functions, we further introduce and investigate fuzzy games on augmenting systems with multilinear extension and fuzzy characteristic functions. Content Type Journal Article Pages - DOI 10.3233/IFS-130983 Authors Fanyong Meng, School of Management, Qingdao Technological University, Qingdao, China Dongmin Jiang, School of Management, Qingdao Technological University, Qingdao, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Ensuring secure communication in mobile ad hoc network (MANET) is the main challenging task due to the network characteristics. In this paper, we apply fuzzy logic method and method of ant colony optimization (ACO) to establish a secure routing path with minimum delay for mobile ad hoc network. The ACO algorithm is used to establish a virtual backbone connecting cluster heads (CHs). The general ACO algorithm is modified to allow selection of routing path, based on trust value of the nodes lying in the routing path and delaying experienced in the path. The procedure uses a fuzzy logic controller to evaluate the trust value of the nodes based on node's QoS parameters: energy drain rate, lifetime of the node, packet drop rate and packet forwarding status of the node. The behavior of the protocol under various attacks is analyzed. Experimentation shows that the algorithm results in secure shortest routing path for data communication. Additionally, the packet drop rate and routing delay of the proposed routing protocol in presence of malicious nodes is fewer compared to secure cluster based routing protocol (SCBRP) and Fuzzy Logic based Security Level routing protocol (FLSL). Content Type Journal Article Pages - DOI 10.3233/IFS-130999 Authors R. Pushpa Lakshmi, Department of Information Technology, PSNA College of Engineering and Technology, Tamilnadu, India A. Vincent Antony Kumar, Department of Information Technology, PSNA College of Engineering and Technology, Tamilnadu, India Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: A grid computing environment provides a type of distributed computation that is unique because it is not centrally managed and it has the capability to connect heterogeneous resources. A grid system provides location-independent access to the resources and services of geographically distributed machines. An essential ingredient for supporting location-independent computations is the ability to discover resources that have been requested by the users. Because the number of grid users can increase and the grid environment is continuously changing, a scheduler that can discover decentralized resources is needed. Grid resource scheduling is considered to be a complicated, NP-hard problem because of the distribution of resources, the changing conditions of resources, and the unreliability of infrastructure communication. Various artificial intelligence algorithms have been proposed for scheduling tasks in a computational grid. This paper uses the imperialist competition algorithm (ICA) to address the problem of independent task scheduling in a grid environment, with the aim of reducing the makespan. Experimental results compare ICA with other algorithms and illustrate that ICA finds a shorter makespan relative to the others. Moreover, it converges quickly, finding its optimum solution in less time than the other algorithms. Content Type Journal Article Pages - DOI 10.3233/IFS-130988 Authors Zahra Pooranian, Department of Computer Engineering, Islamic Azad University, Andimeshk, Iran Mohammad Shojafar, Department of Information Engineering, Electronics (DIET), Sapienza University of Rome, Via Eudossiana, Rome, Italy Bahman Javadi, School of Computing, Engineering and Mathematics, University of Western Sydney, Sydney, Australia Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), WA, USA Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, we present an efficient direct method for solving Fredholm fuzzy integral equation of the second kind based on hat functions. The method is based on new vector forms for representation of hat functions and its operational matrix. We have not used any integration, so all calculations can be easily implemented. Moreover, the convergence of the proposed method is proved. Finally, illustrative examples are included to show accuracy and efficiency of the proposed method. Content Type Journal Article Pages - DOI 10.3233/IFS-130990 Authors Farshid Mirzaee, Department of Mathematics, Faculty of Science, Malayer University, Malayer, Iran Mahmoud Paripour, Department of Science, Hamedan University of Technology, Hamedan, Iran Mohammad Komak Yari, Department of Mathematics, Faculty of Science, Malayer University, Malayer, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: A fuzzy associative memory is a fuzzy logic tool for pattern recognition or control problems. Fuzzy inference systems based on fuzzy associative memory have a wide range of practical applications. These systems need to be determined how to form and how many membership functions for each input variable by analyzing its histogram. This paper proposes an algorithm for optimizing their membership functions by a threshold set and a method that finds out optimal membership functions whereby classification effects of the fuzzy inference systems can be improved. The algorithm is associated with a measure of useful degree of input membership functions to increase accurate classification rates of the system. The paper also based on the experiment to show criteria for collecting training data to improve the effect of recognition or classification of the fuzzy inference systems. To confirm the effectiveness, the proposed algorithm is applied to a pattern recognition problem with the iris data through a fuzzy inference system based on fuzzy associative memory. Content Type Journal Article Pages - DOI 10.3233/IFS-130995 Authors An H. Ton-That, Global Media Department, Soongsil University, Seoul, Korea Nhan T. Cao, Global Media Department, Soongsil University, Seoul, Korea Hyung Il Choi, Global Media Department, Soongsil University, Seoul, Korea Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper we study nonlinear elliptic boundary value problems with singular nonlinearities whose simplest example is −div (|∇u| p−2 ∇u)=f/u γ in Ω, u=0 on ∂Ω, where Ω is a bounded open set in R N (N≥2), γ〉0, 1〈p〈N, 0≤f∈L m (Ω), m≥1. The main difficulty is due to the right hand side f(x)/u γ , since u=0 on the boundary. In order to overcome this “obstacle”, we approach our above model problem thanks to the smooth Dirichlet problems u n ∈W 1,p 0 (Ω): −div (|∇u n | p−2 ∇u n )=min(f(x),n)/(|u n |+1/n) γ and we prove that there exists a solution u as limit (in a suitable topology) of the sequence {u n }. To be more precise, we prove that the above model problem has a suitable solution u for every f in L 1 (Ω) and for every γ〉0 and how the regularity of u depends on the summability of f, on p and on γ. Content Type Journal Article Pages 181-195 DOI 10.3233/ASY-131173 Authors Linda Maria De Cave, Dipartimento di Scienze di Base e Applicate per l'Ingegneria, Università di Roma “La Sapienza”, Via A. Scarpa 16, 00161 Roma, Italy. E-mail: linda.decave@sbai.uniroma1.it Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 84 Journal Issue Volume 84, Number 3-4 / 2013

Description: The aim of this paper is to study the well-posedness and long time behavior, in terms of finite-dimensional attractors, of a perturbed Cahn–Hilliard equation. This equation differs from the usual Cahn–Hilliard by the presence of the term ε(−Δu+f(u)). In particular, we prove the existence of a robust family of exponential attractors as ε goes to zero. Content Type Journal Article Pages 147-179 DOI 10.3233/ASY-131172 Authors Haydi Israel, UMR 7348 CNRS, Laboratoire de Mathématiques et Applications, Université de Poitiers, Poitiers, France. E-mails: haydiisrael@hotmail.com, {alain.miranville, madalina.petcu}@math.univ-poitiers.fr Alain Miranville, UMR 7348 CNRS, Laboratoire de Mathématiques et Applications, Université de Poitiers, Poitiers, France. E-mails: haydiisrael@hotmail.com, {alain.miranville, madalina.petcu}@math.univ-poitiers.fr Madalina Petcu, UMR 7348 CNRS, Laboratoire de Mathématiques et Applications, Université de Poitiers, Poitiers, France. E-mails: haydiisrael@hotmail.com, {alain.miranville, madalina.petcu}@math.univ-poitiers.fr Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 84 Journal Issue Volume 84, Number 3-4 / 2013

Description: In the present paper we give a procedure by which we generate a fuzzy ideal (resp. a fuzzy filter and a convex fuzzy sublattice) by a fuzzy set in a lattice. And we prove that a convex fuzzy sublattice generated by a fuzzy set is an intersection of a fuzzy ideal and a fuzzy filter generated by the same fuzzy set in a lattice. Moreover, the homomorphic image and pre-image of a fuzzy ideal (fuzzy filter and convex fuzzy sublattice) generated by a fuzzy set are studied. In particular, we prove that the set of convex fuzzy sublattices of a modular lattice can form a modular lattice. Finally, as an application of our main result, we give an interesting example in BCK-algebras. Content Type Journal Article Pages - DOI 10.3233/IFS-130996 Authors Xiaolong Xin, Department of Mathematics, Northwest University, Xi'an, P.R. China Yulong Fu, Academy of Bordeaux, University of Pau, Bordeaux, France Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: The complexity of a competitive business environment and increased customer expectations has revealed the necessity of awareness from organizational strengths and weakness and continuous improvement of productivity. Thus, today's managers seek a comprehensive, reliable and flexible solution to evaluate their organizations' performances so that they will obtain accurate and sufficient information of their positions while ensuring the implementation of their own strategies, and will improve their organizations with a future-oriented view. This performance management research, specifically measures the customer relationship management (CRM) in business to business (B2B) area using balanced scorecard (BSC) for determination of CRM indicators and fuzzy analytic network process (FANP) to determine CRM indicators and sub-indicators in a case study on MAPNA organization in order to provide for a ground for CRM efficiency improvement in this organization. Content Type Journal Article Pages - DOI 10.3233/IFS-131006 Authors Shahideh Nasery Isfahani, Department of Industrial Engineering, K.N.Toosi Univercity of technology, Tehran, Iran Ahmad Asle Haddad, Department of Industrial Engineering, K.N.Toosi Univercity of technology, Tehran, Iran Emad Roghanian, Department of Industrial Engineering, K.N.Toosi Univercity of technology, Tehran, Iran Mehdi Rezayi, Department of R&D of MAPNA (Iran power plant project management organization), Tehran, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Support Vector Machines (SVM) has recently received a great deal of attention in regression and classification problems for crisp data. However, the fuzzy structure of the system should be considered if available information is uncertain or imprecise. In this paper, a new approach called Hybrid Fuzzy Support Vector Regression (HF-SVR) is introduced for the linear and non-linear fuzzy regression modeling. According to the proposed algorithm, parameter estimates are obtained from the solutions of two optimization problems by using the basic idea underlying SVM and the least squares principle. Furthermore, different learning machines for non-linear fuzzy regression can be constructed according to the selection of kernel function. In order to compare HF-SVR with the previously published fuzzy support vector regression methods, the data sets used in these papers are adopted. Based on the findings obtained from the numerical applications, it is determined that proposed method gives remarkable results according to the measure of mean square error. Content Type Journal Article Pages - DOI 10.3233/IFS-141482 Authors Furkan Baser, Department of International Trade, Faculty of Economics and Administrative Sciences, Gazi University, Besevler, Ankara, Turkey Aysen Apaydin, Department of Statistics, Faculty of Science, Ankara University, Tandogan, Ankara, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: How to deal with the contradiction between mass production effect and customized demand is the key problem on mass customization (MC). With the development of supply chain management, we can settle the contradiction through flexible and effective supply chain operation and it relies on rational supply chain resource integration (SCRI). However, supply chain operation in MC has special characters, mainly reflected in the random order information and the outstanding changes of collaborative benefits and risks which will influence the SCRI process and the collaborative psychology and negotiation state between two integration sides. Through analyzing the integration framework from the relations of integration input and output, this paper gives a deep analysis on multi-stage dynamic game process about SCRI in MC from the view of balancing the benefits and risks among both negotiation sides and points out that the integration is a collaborative game process. Through dividing the game process reasonably, this paper describes the game stage features and the index changes of resource individuals' psychological expectations and appeals of their benefits and risks by fuzzy membership functions, and then puts forward a dynamic game decision method. Finally, testing by an application case, the method is feasible and effective. Content Type Journal Article Pages - DOI 10.3233/IFS-141488 Authors Jianming Yao, School of Business, Renmin University of China, Beijing, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: In this paper, by a new ranking method of interval numbers which has a total order, interval cooperative games and some relevant definitions are firstly redefined, two important theorems are presented respectively to discuss the existence of the interval core and to prove the relations between the interval core and the interval dominance core. Then on the condition that the profit value of any coalition is not fully used to allocate, a generalized interval cooperative game and its solution concepts, such as generalized interval core, generalized interval dominance core are proposed. Further more, some extended theorems to discuss the existence and the relations about its solution concepts are developed. Finally, by a specific example, the reasonableness and validity of the above theoretical notions are verified. Content Type Journal Article Pages - DOI 10.3233/IFS-141438 Authors Fei Guan, School of Management and Economics, Beijing Institute of Technology, China Dengyuan Xie, School of Management and Economics, Beijing Institute of Technology, China Qiang Zhang, School of Management and Economics, Beijing Institute of Technology, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Elizabeth Haub Prize - Marc Pallemaerts Honoured 16 IUCN World Parks Congress 2014 - Safeguarding the Planet's Natural Assets "Defining the Agenda" (Eustathia Laina and Elsa Tsioumani) 19 Content Type Journal Article Pages 16-22 Journal Environmental Policy and Law Online ISSN 1878-5395 Print ISSN 0378-777X Journal Volume Volume 45 Journal Issue Volume 45, Number 1 / 2015

Description: UNGA-69 - Resolutions on Environmental Policy and Law 2 UN Post-2015 Development Agenda - Final Round of Discussions 6 CMS/CoP-11 - A Watershed for the Conservation of Migratory Species "Bradnee Chambers" 7 UNFCCC/CoP-20 - A Draft Negotiating Text Emerges "Annalisa Savaresi" 10 IPBES - Key Policies and Issues Addressed "Elsa Tsioumani" 13 Content Type Journal Article Pages 2-15 Journal Environmental Policy and Law Online ISSN 1878-5395 Print ISSN 0378-777X Journal Volume Volume 45 Journal Issue Volume 45, Number 1 / 2015

Description: This article will introduce K-modal BL-logic and investigate some properties of this new logic. Consequently, T-modal BL-logic and S4-modal BL-logic, as schematic extensions of K-modal BL-logic, will be dealt with. Likewise, the algebraic semantics based on each logic will be constructed. Finally, the soundness and completeness theorems of these logics will be proved. Content Type Journal Article Pages - DOI 10.3233/IFS-151604 Authors Esfandiar Eslami, Department of pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran Omid Yousefi Kia, Department of pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran Arsham Borumand Saeid, Department of pure Mathematics, Faculty of Mathematics and Computer Science, Shahid Bahonar University of Kerman, Kerman, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Considering the fact that the main part of electrical energy losses is related to the distribution level; therefore, controlling and monitoring of this part of the network is necessary to reduce energy losses which is made possible through distribution automation. Distribution automation systems need decision making regarding the responsibilities being performed by operators. On the other hand, there is the possibility of incorrect decision making by operators due to the large volume of information and decision making time shortage during automation steps which can be created by incorrect information received from the network and consequently causes the incorrect control command sending to distribution network devices. Also, introducing the Distributed Generations (DGs) in the protection system of distribution network, it is possible for the protective devices to have an incorrect operation which affects the operators' decisions performed by the automation system. In this paper, a new Petri-Net modeling method is used to make the distribution network monitoring and automation possible and also to help the operator in correct decision making. In addition, the protective devices' operation is determined more reliably using the attained data from the automation system. Content Type Journal Article Pages - DOI 10.3233/IFS-151602 Authors Ahmad Ashouri, Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran Abolfazl Jalilvand, Department of Electrical Engineering, University of Zanjan, Zanjan, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: The aim of this paper is to present some cases of the induced linguistic ordered weighted averaging (ILOWA) operator which are very suitable to deal with group decision making (GDM) problems with additive linguistic preference relations. We propose the relative consensus degree ILOWA (RCD-ILOWA) operator which uses the relative consensus degree (RCD) variable as the order inducing variable, and the compatibility index ILOWA (CI-ILOWA) operator which uses the compatibility index (CI) variable as the order inducing variable. We also investigate some desired properties of RCD-ILOWA operator and the CI-ILOWA operator which provide theoretic basis for the application of the additive linguistic preference relations in GDM. A general formulation and a nonlinear model to determine experts' weights and two approaches based on the RCD-ILOWA operator and the CI-ILOWA operator for GDM involving additive linguistic preference relations are developed respectively. A numerical example for comprehensive evaluation is given to illustrate the applications of the new operators. Content Type Journal Article Pages - DOI 10.3233/IFS-151603 Authors Ligang Zhou, School of Mathematical Sciences, Anhui University, Hefei, Anhui, China Yuanyuan Zhou, School of Mathematical Sciences, Anhui University, Hefei, Anhui, China Xi Liu, School of Mathematical Sciences, Anhui University, Hefei, Anhui, China Huayou Chen, School of Mathematical Sciences, Anhui University, Hefei, Anhui, China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Nonadditive set functions represent contribution rate of individual feature attributes and combinations of feature attributes toward the target. Their nonadditivity describes the interaction among contributions. The generalized weighted Choquet integral with respect to a nonadditive set function serves as an aggregation tool, which may be used in the nonlinear objective function of optimization problems, to project n-dimensional feature space onto a real axis with a corresponding projection value. In this paper, we propose a special genetic algorithm model to identify the values of feature attributes that maximize the value of the objective function involving a generalized weighted Choquet integral. Thus, we may find the values of the feature attributes giving the greatest contribution toward the target. This is a generalization of linear programming to nonlinear cases. Content Type Journal Article Pages - DOI 10.3233/IFS-151610 Authors Naomi Kochi, Department of Genetics, Cell Biology, and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA Zhenyuan Wang, Department of Mathematics, University of Nebraska at Omaha, Omaha, NE, USA Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: This paper presents a novel approach for robust speed control of medium size induction motors using neuro-fuzzy dynamic sliding mode control. First, a simple dynamic model of induction motors is introduced. Then, a conventional sliding mode control is presented. To reduce the chattering phenomenon, dynamic sliding mode control is designed using a secondary PID-type sliding surface. Moreover, in order to eliminate the tedious trial and error procedure in choosing a proper uncertainty upper bound, uncertainties have been estimated using a neuro-fuzzy system. The online training of the neuro-fuzzy dynamic sliding mode control is based on the adaptation law derived from the stability analysis. In addition, the reconstruction error of the neuro-fuzzy system is compensated to guarantee the asymptotic convergence of the speed tracking error. Simulation results verify that the neuro-fuzzy dynamic sliding mode control is robust against various uncertainties including parametric variations, external load disturbance, unmodeled dynamics and input voltage disturbances. Content Type Journal Article Pages - DOI 10.3233/IFS-151601 Authors Mojtaba Vahedi, Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran Mohammad Hadad Zarif, Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran Ali Akbarzadeh Kalat, Department of Electrical and Robotic Engineering, University of Shahrood, Shahrood, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Rule classifiers enhance understanding of data and enable to represent learned knowledge in an explicit structural form. To further improve this understanding and generalisation properties of predictors, the process of selection of decision rules can be executed. The paper presents a post-processing approach to this task. In a proposed research framework there were exploited rankings of attributes the rules refer to, thus transferring the established importance of features to the rules based on them. The attributes were weighted by selected statistical measures and machine learning algorithms. The rule classifiers were constructed in Dominance-Based Rough Set Approach and employed in the domain of stylometry for the task of authorship attribution. Content Type Journal Article Pages - DOI 10.3233/IFS-151620 Authors Urszula Stańczyk, Institute of Informatics, Silesian University of Technology, Akademicka, Gliwice, Poland Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Group probability classifier learning is an emerging and promising learning technique, especially in privacy-preserving data mining. It is used to train a classifier from a group probability dataset, where the class labels of each sample are unknown while the probabilities of each class in the given data groups of the whole dataset are available. The existing work is mainly based on the inverse calibration (IC) strategy to obtain the estimated labels for data in the group probability dataset and then make use of classical classification algorithms such as support vector machine (SVM) model to train the desired classifier. A critical challenge of the exiting IC-based methods lies in the difficulty of designing an ideal IC function for label estimation and the methods are sensitive to the adopted IC function. In order to overcome this shortcoming, a novel probability transductive classifier that does not involve IC in the learning procedure is proposed, where the probability values are directly used as the output of the training data for the model training. Particularly, on the training data with the output being continuous real values, the existing classical regression model can be easily adopted to model the group probability classification problem. For a future testing data, the model output of the obtained group probability classification model can present the probability that the testing data belong to the positive class. With a given threshold, the final class label of the testing data can be obtained for the classification task. The experimental results on synthetic datasets and real UCI datasets show that the proposed method is more effective than the existing methods. Content Type Journal Article Pages - DOI 10.3233/IFS-151621 Authors Yizhang Jiang, School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China Zhaohong Deng, School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China Kup-Sze Choi, Centre for Smart Health, School of Nursing, Hong Kong Polytechnic University, Hong Kong Pengjiang Qian, School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China Wenjun Hu, School of Information and Engineering, Huzhou Teachers College, Huzhou, Zhejiang, P.R. China Shitong Wang, School of Digital Media, Jiangnan University, Wuxi, Jiangsu, P.R. China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In soil mechanics relationship between the causes and effects can be observed with laboratory tests but is difficult to develop analytical functions or numerical relations between input and output. In geotechnical optimization the most usual constraints represent state variables of structural response for each loading case. The aim of this paper is to define the soft constrain with adaptive network-based fuzzy inference system (ANFIS) in the soil mechanics. The developed soft constrain is than applied in non-linear programming (NLP) to obtain optimal solution. In the case of soil compaction the performance of the proposed optimization algorithm is evaluated. The main aim of soil compaction is to define optimal water content at which soil can be compacted to a densest state that improve their mechanical and physical properties. Content Type Journal Article Pages - DOI 10.3233/IFS-151624 Authors Primoz Jelusic, Faculty of Civil Engineering, University of Maribor, Maribor, Slovenia Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Multiple features such as the margin, the shape and the texture of plant leaves are of great importance for classification of plant species, as they are often regarded as the unique features to identify plants. In this paper, we study the performance of a recently proposed semi-supervised fuzzy clustering algorithm with feature discrimination for leaf classification, based on features generated by principal component analysis of color images. The method outlines a basic framework for judging the weights of different features by adopting multiple feature matrixes obtained from the initial images as input data and the clustering results of the proposed clustering algorithm as output data to distinguish dissimilarities between various leaves. Real leaf images are employed to evaluate its performance and the experiment demonstrates that these results suggest that the margin feature, the shape feature and combination feature especially the margin feature and combination feature may be the best choice for leaf classification. Content Type Journal Article Pages - DOI 10.3233/IFS-151626 Authors Li Longlong, College of Mechanical & Electronic Engineering, Northwest A&F University, Shaanxi, P.R.China Jonathan M. Garibaldi, School of Computer Science, University of Nottingham, Nottingham, NG81BB, UK He Dongjian, College of Mechanical & Electronic Engineering, Northwest A&F University, Shaanxi, P.R.China Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Water quality has degraded dramatically in the Krishna River (India) due to point and non-point sources. Present investigation aims to assess temporal variations of physical and chemical parameters of the river. Environmental data from rural and urban areas for the period 2007–2012 were compared. A statistical analysis was carried out with six environmental variables considering a multivariate system, analysis of variance and principal component analysis. Statistical analysis divided the river into two zones with different degrees of contamination. The most polluted zone is due to pollution inputs of municipal and industrial origin; this region showed a remarkable deterioration in water quality, mainly due to wastewater discharges. Content Type Journal Article Pages 73-80 Authors Prakash Kengnal, Department of Statistics, Karnatak Arts College, Dharwad, India M.N. Megeri, Department of Statistics, Karnatak Arts College, Dharwad, India B.S. Giriyappanavar, Department of Botany, Karnatak Science College, Dharwad, India Rahul R. Patil, Department of Botany, Karnatak Science College, Dharwad, India Journal Asian Journal of Water, Environment and Pollution Online ISSN 1875-8568 Print ISSN 0972-9860 Journal Volume Volume 12 Journal Issue Volume 12, Number 2 / 2015

Description: Content Type Journal Article Pages 107-110 Journal Asian Journal of Water, Environment and Pollution Online ISSN 1875-8568 Print ISSN 0972-9860 Journal Volume Volume 12 Journal Issue Volume 12, Number 2 / 2015

Description: The hydrogeochemical study of surface and sub-surface water resources of Deogarh district of Jharkhand state was undertaken to assess major ion chemistry and water quality in relation to domestic and irrigation uses. Analytical results show mildly acidic to alkaline nature of water and dominance of Ca^{2+} and Na^+ in cationic and HCO_3^- and Cl^- in anionic abundance. In general, alkaline earth elements (Ca^{2+}+Mg^{2+}) exceed alkalies (Na^++K^+) and weak acids dominate (HCO_3^-) over strong acids (SO_4^{2-}+Cl^-) in majority of water samples. Ca-Mg-HCO_3 is the dominant hydrochemical facies both in surface and groundwater of the area. Weathering of rock forming minerals and ion exchange processes mainly controlled solute chemistry with secondary contribution from anthropogenic sources. Assessments of water quality for drinking purposes pointed that majority of water samples are suitable for drinking. Concentration of TDS, TH, F^-, Cl^- and NO_3^- are exceeding desirable levels prescribed for drinking water at some sites. However, these parameters are well within the maximum permissible limit except for some cases. SAR, RSC, %Na, MH and PI values suggest that both surface and groundwater are good for irrigation uses except at some sites, where salinity, MH and PI values are higher than the prescribed levels. Content Type Journal Article Pages 43-58 Authors Abhay Kumar Singh, Central Institute of Mining and Fuel Research (Council of Scientific & Industrial Research) Barwa Road, Dhanbad – 826 015, India G.C. Mondal, Central Institute of Mining and Fuel Research (Council of Scientific & Industrial Research) Barwa Road, Dhanbad – 826 015, India Mukesh Kumar Mahato, Central Institute of Mining and Fuel Research (Council of Scientific & Industrial Research) Barwa Road, Dhanbad – 826 015, India T.B. Singh, Central Institute of Mining and Fuel Research (Council of Scientific & Industrial Research) Barwa Road, Dhanbad – 826 015, India Journal Asian Journal of Water, Environment and Pollution Online ISSN 1875-8568 Print ISSN 0972-9860 Journal Volume Volume 12 Journal Issue Volume 12, Number 2 / 2015

Description: This investigation quantified spatial variability of heavy metals and followed methods of the U.S. Environmental Protection Agency (EPA) to estimate the hazard indices as well as cancer risks associated with consuming fish caught in the waters of the Langat river basin area, Malaysia. The calculation of metal pollution index (MPI) was carried out to classify the study area according to the level of contamination and the order of stations from highest to lowest MPI values was Langat river 〉 Cempaka lake 〉 Engineering pond 〉 Pond B 〉 Pond A 〉 Jugra 〉 Bandar. The level of exposure due to the consumption of each chemical in Tilapia fish tissue was estimated in an average daily dose equation. The calculated HI ranging from 0.24 to 1.88 indicated 71% stations were in the risk level. Potential carcinogenic risks associated with the ingestion of heavy metals in Tilapia fish were evaluated probabilistically by performing 10,000 trials for Monte Carlo simulation. Cancer risk calculations exceeding the U.S. EPA's acceptable risk level of 1 in 1,000,000 (or 10^{-6}) included Ni (7.3 ×10^{-4}) and Cd (2.1 ×10^{-6}). However, the average carcinogenic risk (2.4 × 10^{-4}) exceeded the accepted risk level to a great extent. The recommended daily ingestion rate of Tilapia for Malaysian people inhabiting Langat river basin area was calculated considering 95th percentile TR value of 10^{-6} as an acceptable risk where it is revealed that consumption of Tilapia should be reduced about 67% from the current level to have an acceptable risk of cancer. Content Type Journal Article Pages 21-30 Authors Lubna Alam, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Mazlin Bin Mokhtar, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Md. Mahmudul Alam, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Md. Azizul Bari, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Nicholas Kathijotes, Department of Civil Engineering & Geomatics, Cyprus University of Technology, Cyprus Goh Choo Ta, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Lee Khai Ern, Institute for Environment and Development (LESTARI) Universiti Kebangsaan Malaysia (UKM), Bangi, 43600, Selangor DE, Malaysia Journal Asian Journal of Water, Environment and Pollution Online ISSN 1875-8568 Print ISSN 0972-9860 Journal Volume Volume 12 Journal Issue Volume 12, Number 2 / 2015

Description: Traffic police in metropolitan cities are exposed to higher level of air pollution and are suffering from respiratory symptoms. Conventional symptomatic treatment is effective to give temporary relief but the lung capacity of the subjects reduces progressively. Present study was aimed to evaluate effect of Hingu-Pippali yoga, a herbal formulation in respiratory disorders caused due to air pollution in traffic police. With a prior institutional ethical permission an open, randomised clinical study was carried out. Informed consent was taken from every subject enrolled in trial. An authenticated and standardised test drug was administered twice a day in dose of 250 mg for 28 days with honey and sugar to trial group. Lung function test with spirometer and Haemogram before starting the treatment and at the end of study was done to evaluate the results. The subjective parameters viz. cough, rhinitis and dyspnoea showed significant reduction (p 〈 0.001) in trial group. Pulmonary Function Tests-FVC, FEV1, MVV and FEF (p 〈 0.001)-showed significant results indicating the increase in lung capacity in trial group. There was significant reduction seen in eosinophil count and ESR. Hingu-pippali yoga is effective to reduce the respiratory disorders caused due to air pollution and enhances the lung capacity of subjects. Content Type Journal Article Category Short Note Pages 99-106 Authors Shilpa Bhosale, Dept. of Agadtantra and Vidhivaidyak, Bharati Vidyapeeth Deemed University College of Ayurved, Pune-Satara Road, Pune – 411043, India Sarita Kapgate, Dept. of Agadtantra and Vidhivaidyak, Bharati Vidyapeeth Deemed University College of Ayurved, Pune-Satara Road, Pune – 411043, India Journal Asian Journal of Water, Environment and Pollution Online ISSN 1875-8568 Print ISSN 0972-9860 Journal Volume Volume 12 Journal Issue Volume 12, Number 2 / 2015

Description: The paper is devoted to study 3D–2D dimension reduction for non-homogeneous −Δ 1 , by means of power law approximation and Γ-convergence. Content Type Journal Article Pages 187-202 DOI 10.3233/ASY-151296 Authors Maria Emilia Amendola, Università degli Studi di Salerno, Fisciano, Italy. E-mail: emamendola@unisa.it Giuliano Gargiulo, Dipartimento di Scienze e Tecnologie, Università del Sannio, Benevento, Italy. E-mail: ggargiul@unisannio.it Elvira Zappale, Dipartimento di Ingegneria Industriale, Università degli Studi di Salerno, Fisciano, Italy. E-mail: ezappale@unisa.it Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 92 Journal Issue Volume 92, Number 3-4 / 2015

Description: We consider the Dirichlet problem for the Laplace equation in a planar domain with a small hole. The diameter of the hole is proportional to a real parameter ε and we denote by u ε the corresponding solution. If p is a point of the domain, then for ε small we write u ε (p) as a convergent power series of ε and of 1/(r 0 +(2π) −1 log |ε|), with r 0 ∈R. The coefficients of such series are given in terms of solutions of recursive systems of integral equations. We obtain a simplified expression for the series expansion of u ε (p) in the case of a ring domain. Content Type Journal Article Pages 339-361 DOI 10.3233/ASY-151283 Authors M. Dalla Riva, Centro de Investigação e Desenvolvimento em Matemática e Aplicações (CIDMA), Universidade de Aveiro, Aveiro, Portugal P. Musolino, Dipartimento di Matematica, Università degli Studi di Padova, Padova, Italy S.V. Rogosin, Institute of Mathematics, Physics and Computer Science (IMPACS), Aberystwyth University, Aberystwyth, UK Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 92 Journal Issue Volume 92, Number 3-4 / 2015

Description: In this paper, we investigate an initial-boundary value problem for a chemotaxis–fluid system in a general bounded regular domain Ω⊂R N (N∈{2,3}), not necessarily being convex. Thanks to the elementary lemma given by Mizoguchi and Souplet [Ann. Inst. H. Poincaré – AN 31 (2014), 851–875], we can derive a new type of entropy–energy estimate, which enables us to prove the following: (1) for N=2, there exists a unique global classical solution to the full chemotaxis–Navier–Stokes system, which converges to a constant steady state (n ∞ ,0,0) as t→+∞, and (2) for N=3, the existence of a global weak solution to the simplified chemotaxis–Stokes system. Our results generalize the recent work due to Winkler [Commun. Partial Diff. Equ. 37 (2012), 319–351; Arch. Rational Mech. Anal. 211 (2014), 455–487], in which the domain Ω is essentially assumed to be convex. Content Type Journal Article Pages 249-258 DOI 10.3233/ASY-141276 Authors Jie Jiang, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China. E-mail: jiangbryan@gmail.com Hao Wu, School of Mathematical Sciences, Fudan University, Shanghai, China and Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, Shanghai, China. E-mail: haowufd@yahoo.com Songmu Zheng, School of Mathematical Sciences, Fudan University, Shanghai, China. E-mail: songmuzheng@yahoo.com Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 92 Journal Issue Volume 92, Number 3-4 / 2015

Description: In this paper, a homogenization problem for an elliptic system with non-periodic, state-dependent coefficients representing microstructure is investigated. The state functions defining the tensor of coefficients are assumed to have an intrinsic length scale denoted by ε〉0. The aim is the derivation of an effective model by investigating the limit process ε→0 of the state functions rigorously. The effective model is independent of the parameter ε〉0 but preserves the microscopic structure of the state functions (ε〉0), meaning that the effective tensor is given by a unit cell problem prescribed by a suitable microscopic tensor. Due to the non-periodic structure of the state functions and the corresponding microstructure, the effective tensor turns out to vary from point to point (in contrast to a periodic microscopic model). In a forthcoming paper, these states will be solutions of an additional evolution law describing changes of the microstructure. Such changes could be the consequences of temperature changes, phase separation or damage progression, for instance. Here, in addition to the above and as a preparation for an application to time-dependent damage models (discussed in a future paper), we provide a Γ-convergence result of sequences of functionals being related to the previous microscopic models with state-dependent coefficients. This requires a penalization term for piecewise constant state functions that allows us to extract from bounded sequences those sequences converging to a Sobolev function in some sense. The construction of the penalization term is inspired by techniques for Discontinuous Galerkin methods and is of own interest. A compactness and a density result are provided. Content Type Journal Article Pages 203-234 DOI 10.3233/ASY-141271 Authors Hauke Hanke, Weierstrass Institute, Berlin, Germany. E-mail: hanke@wias-berlin.de Dorothee Knees, University of Kassel, Kassel, Germany. E-mail: dknees@mathematik.uni-kassel.de Journal Asymptotic Analysis Online ISSN 1875-8576 Print ISSN 0921-7134 Journal Volume Volume 92 Journal Issue Volume 92, Number 3-4 / 2015

Description: We combine two aspects, fuzzy mathematics and partial functional differential equations to get fuzzy partial hyperbolic functional differential equations in the sense of generalized Hukuhara-differentiability. In this setting, the global existence of four solutions, each one corresponding to a different type of differentiability, is investigated in the whole infinite domain [a,∞) × [b,∞). Content Type Journal Article Pages - DOI 10.3233/IFS-151623 Authors Hoang Viet Long, Department of Basic Sciences, University of Transport and Communications, Hanoi, Vietnam Nguyen Thi Kim Son, Department of Mathematics, Hanoi University of Education, Hanoi, Vietnam Ha Thi Thanh Tam, Department of Mathematics, Hanoi University of Education, Hanoi, Vietnam Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Transportation problems have wide applications in logistics and supply chain for reducing the cost. Effective algorithms have been proposed to solve the transportation problem in the case when all of the parameters, namely the supply, demand values and the unit transportation costs, are given in a precise way. However, in real applications, there are many diverse situations due to uncertainty. So, it is significant to investigate the transportation problem under uncertain environment. In this paper, a two-step method is proposed for solving fuzzy transportation problem (FTP) where all of the parameters are represented by non-negative triangular fuzzy numbers. The first is to employ fuzzy arithmetic to convert FTP into a linear programming with fuzzy costs and crisp constraints. The second is to use a new decomposition technique to transform the resulting problem into three crisp bounded transportation problems. The advantages of the proposed method over the existing methods are discussed by an application example. The obtained results show that the method proposed in this study is simpler and computationally more efficient than some existing methods commonly used in the literature. Content Type Journal Article Pages - DOI 10.3233/IFS-151625 Authors Ali Ebrahimnejad, Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Parks and urban green spaces can play an effective role in developing and reinforcing citizens’ place attachment because of long time usage and wide spectrum of environmental users. Bagh Mohtasham of Rasht can be indicated as one of the prominent examples of urban parks in Gilan province. Bagh Mohtasham is the oldest park in Rasht and is counted as the main choices for Rasht citizens in order to spend their leisure time. In this regard current study intends to assess the impact of Bagh Mohtasham of Rasht on the people’s place attachment to determine the solutions for increasing the place

Description: This study aimed to identify and select areas suitable for ecotourism. In this research, to assess the potential of ecotourism of Masal district, Fuzzy Analytical Hierarchy Process (FAHP) and GIS were used. For this purpose, appropriate evaluation criteria and sub-criteria were identified for determining recreational potential. Then, using AHP fuzzy, criteria and sub-criteria to determine the importance of assessing the potential recreational area prepared questionnaires and, were distributed among clinicians. Weighted criteria and sub-criteria in each questionnaire were calculated and by averaging the weights, final weight was calculated using the model. The required maps for evaluating of the recreational potential

Description: Air pollution due to the presence of particulate matter (PM) in the ambient air is assumed to be the leading cause of many diseases in different metropolitan and industrial regions throughout the world. Based on WHO’s report on the classification of different cities of the world in terms of the amount of fine particles in the air, Ahvaz is one of the most polluted cities among a sample of more than 1100 cities around the world. Heavy metals attached to the inhalable particulate matters having a size of less than 10 microns can penetrate more deeply into the lungs, form

Description: To remove chlorine from zinc electrolysis solutions, the electrochemical method was carried out in this research. Copper electrodes with a purity of 99.99% were employed as the anode and cathode. In addition, the effect of applied potential, agitation rate, and reaction temperature on the efficiency of chlorine removal was investigated and dechlorination mechanism was explored. Scanning electron microscopy (SEM) was used to observe the evolution of the chlorine species on the anode surface. Based on the obtained results, the efficiency of dechlorination from electrolysis solution with a Cl− concentration of 295 mg.L−1 in constant values of pH =

Description: The rapid growth of urbanization has put heavy pressure on the land and its surrounding resources, reduction of vegetation cover, open spaces and serious social and environmental problems. Therefore, a basic step for managing and planning urban growth, as well as evaluating its cumulative effects, is to study and simulate the physical growth of the city. The purpose of this study is to understand the factors that influence the physical growth in Tehran on the basis of sustainable urban development in terms of environmental dimension and the preservation of environmental conditions in the next two decades. For this, using Landsat

Description: It is difficult to demonstrate air pollution spatial distribution as it is related to weather conditions, location, topography, and the area. Air pollution is studied by remote sensing techniques less than other techniques due to lack of sensors capable of detecting emissions, and hence, Aerosol Optical Depth (AOD) method is used for investigation. Aerosol optical depth is a measure of the extinction of the solar beam by dust and haze. In this study, the linear regression analysis was used to develop a relationship between AOD measures by MODIS and daily air pollution (CO, O3 , NO2 , SO2 and

Description: Detection of hazardous and radioactive (HR) elements in dust is very important for environment and human health. About 70 percent of Iran’s climate is arid and semi-arid, and one of the environmental challenges that it faces includes approaching dust storms from the southern and the western countries that neighbour Iran. Therefore, to solve this problem, it seems necessary to make a portable device to detect the HR elements of dust to eliminate social anxiety. In the present study, an isotopic X-ray fluorescence (IXRF) device was optimized to identify HR elements in dust, which arrive as environmental pollutants from neighbouring countries

Description: Caspian basin is one of the main six basins of the country which is influenced by Caspian region in the north of Iran. Because of the growth of human activities and following the changes in land using over the past years, land-cover has changed greatly in this area. The purpose of the article is to study the impact of land-cover changes on the surface of runoff and the quality of water resources in years of 2001-2012, in the Caspian basin. MODIS of terra satellite images have been used to do this action. The results showed that impenetrable surfaces that

Description: Recognizing aspects involved in tourism are necessary in order to plan and manage successful tourism in a region. What that provides the possibility of comprehensive analysis of the region to the planners is taking into account all positive and negative points but sometimes keeping in mind negative and positive points cause the researchers enlarge the obstacles and barriers unintentionally and be pessimistic in providing the strategies. In the present study, attempts have been done to study the positive aspects of a tourism planning with the introduction and use of positive approach “SOAR” and to provide appropriate strategies for tourism development

Description: Land stripping due to mining activity affects the river quality located in Pomalaa. An objective in this study is to analyze a change in water quality of rivers around Pomalaa nickel mining during and post-mining activity. The water samples were taken periodically from the rivers and developed data time series. The instrument to analyze Total Suspended Solid (TSS) was gravimeter. Meanwhile, the iron (Fe) parameter was analyzed by using spectrophotometric and Cr, Cr6+ , Cd, Zn, Cu, Ni, Co and Pb analyzed via atomic absorption spectroscopy (AAS) method. The pH determination was based on SNI 06-6989.11-2004 for evaluating water quality

Description: Increasing the efficiency of the electric power industry is extremely important, leading to lower costs, higher profitability, possibility of proper output, efficient use of resources, reduction of pollutants and, ultimately, environmental protection. In this regard, identification of effective indicators for the sustainable operation of thermal power plants is essential, which has the largest share in the country’s electricity production and one of the most important air pollutant industries. Using the Sustainable Balanced Score Card (SBSC) technique is a powerful way to design indicators for assessing the organization’s sustainability performance (efficiency). The purpose of this research is to identify the effective

Description: Investigating geological structures plays a major role in economy of engineering projects such as petroleum and mining industries. Therefore, it is pivotal to study geological features. The study area is located in northwest of Qazvin Province and Tarom mountains. Tarom Mountains are located in Western Alborz as referred to in Iranian geological units which has a northwest-southeast trend and is located on the Upper Cretaceous-Cenozoic Magmatic belt. This volcanic-plutonic belt has a northwest to southeast trend. The volcanic and intrusive units of the region that belong to Karaj Formation is composed of two members called Amand and KordKand that are

Description: Study on maximal aerobic capacity is important to make physiological adaptation between worker and work. This study aims to investigate maximal aerobic capacity and physical work capacity of male farmers in Sistan region and determining affective factors of that on workers. In this descriptive cross-sectional study, 400 male farmers of Sistan region were randomly selected and participated in this research. A questionnaire comprising two parts is used as data collection tool. The first part deals with demographic features and is completed by interview and in the second part of questionnaire parameters including age, height, weight, waist-hip ratio, BMI and number

Description: Small islands around the world encounter special challenges due to vulnerability to acute climates, human-induced activities and pollution. The challenges even become more intricate where the island is located in environmentally sensitive regions. In order to address the problems in coastal areas, Integrated Coastal Zone Management (ICZM) whose concept was born in 1992 during the Earth Summit of Rio de Janeiro, has been recommended by United Nations. This paper focuses on challenges ahead of ICZM in environmentally sensitive islands through Interaction-Stakeholder and Option Matrices. Kish Island is a beautiful small island located in Persian Gulf. With regard to environmental sensitivities

Description: Qazvin plain in Iran is one of the most fertile regions for crop production, but it has been suffering from severe crises in water resources, inefficient water allocation, and improper cropping pattern due to low tariffs in recent years. One influential policy in the context of sustainable water resource management is suitable pricing. Given the legal potentials and technical conditions for the adoption of various pricing policies, the present paper addresses the effect of area, volumetric or two-part tariff pricing policies with the scenarios of pricing by water supply cost, economic value, or residual value of water on economic variables

Description: The purpose of this research is to provide ecological and chemical characterization of lakes located in the Muraviovka Park, where more than 300 species of birds nest, rest and winter. High concentration of dissolved oxygen in the water of lakes that comes with as high biochemical oxygen demand (BOD5 ) indicates that reservoirs experience eutrophication. Concentration of biogenic organic substances is caused to fluctuate by seasonal changes in water temperature. The fires make the hydro-chemical indicators of wetlands change. Lead concentration in the water is high because it enters the water, moving from the surface layers of soil when natural

Description: Among the chemical pollutants, lead is one of great importance ecologically and hygienically, because it threatens the health of the communities by penetrating into the food cycle. Phytoremediation is required along with modifying chelates to improve the efficiency of metal remediation. The aim of this study was to investigate the effect of vermicompost and EDTA on the absorption of various Pb concentrations from the soil and determine their accumulation level in the roots and shoots of Ocimum basilicum in the form of pot experiment in a completely randomized design with three replications. We applied vermicompost 3 mg/kg soil, EDTA

Description: It is well known that mangrove forests are enriched with a source of livelihood for coastal communities in developing countries which enhance coastal waters, yield commercial forest products, protect coastlines, and support coastal fisheries. Local communities in the coastal areas of Chittagong highly depends on fisheries and coastal resources for their livings. This study was conducted in three coastal villages, Bagachattar, Ichakhali and Kattoli, at Sitakunda-Mirsarai coast of Chittagong using Participatory rapid appraisal (PRA) tools. Participatory rapid appraisal was utilized to elucidate the mangrove related livelihood activities in the coastal communities. A total of 23,838 ha has plantation and exist

Description: Treatment of hazardous phenolic substances that are discharged to environment has a significant interest since decades. Biological treatment using freely suspended sludge is the most economical treatment method, but, is considered inactive for treatment of phenolic substances due to the complexity in their chemical structure. The degradation of phenol was experimentally investigated using separate and coupled biological and photo-catalytic processes. The degradation was carried out at different concentrations of phenol from 10 to 100 ppm. The results showed no degradation of phenol using biological treatment, and as expected, the bacterial colony growth was reduced by 50 percent due to lack

Description: Cirata is one of the three reservoirs of Citarum where its function has developed from hydroelectric power generator to aquaculture and tourism in recent times. A number of floating net cage keeps increasing and they have reached 53,031 cages, which have actually exceeded the maximum amount under local government regulation. This condition has triggered eutrophication in the form of ammonium deposited in aquatic sediments. A study with a 30-day treatment of oxidation catalysis of inorganic and organic matter by bacteria called Microbial Fuel Cell (MFC) technology had been conducted to reduce contamination of ammonium in the water. Various treatments were

Description: Land use/land cover change dealing with the alteration of the land surface and its biotic cover is an important aspect of human-induced global environmental change. The purpose of this study is to monitor long-term changes in LU/LC in Odisha with special emphasis to the forest cover change. LU/LC maps prepared through visual interpretation, indicated a decreasing pattern in percentage forest cover area (40.0%-1996, 39.0%-2006, 37.7%-2016). Conversely, significant increase in built-up area (0.3% in 1996, 0.5% in 2006 and 0.6% in 2016) have been observed. Forest cover maps derived through NDVI thresholding revealed a fluctuating trend of change in dense forest

Description: Discharge of untreated or insufficient treated wastewater may result in water borne Cystoisospora belli outbreaks. Influent and effluent wastewater samples from two different wastewater treatment plants (WWTPs) were collected monthly for the detection of Cystoisospora belli using centrifugal concentration and purification by zinc sulphate floatation, followed by molecular detection using real-time PCR. Results showed that the prevalence rates of Cystoisospora belli in influents and effluents of WWTPs were 14.5% and 6.2%, respectively. The removal rates of Cystoisospora belli oocysts in WWTP (A) utilizing activated sludge and WWTP (B) using trickling filter were 66.7% and 50%, respectively.

Description: In rivers, reaeration is an important process that occurs at the air-water interface to restore dissolved oxygen (DO) equilibrium and this process is characterised by its reaeration coefficient. Existing empirical equations to predict reaeration coefficient is merely based on natural reaeration (Ku ), which refers to the oxygen transfer across the natural free surfaces while reaeration coefficient concerned with artificial reaeration caused by turbulence due to intense boat traffic (Kb ) has not been explored previously. This study investigated the influence of boating activities on DO and its associated reaeration coefficient, Kb , along the Brunei River.

Description: The purpose of this work is to determine the effect of brown bear population growth on the population of wild ungulates by the example of Amur Region and the Republic of Buryatia. Studies were conducted in spring, summer, autumn and winter by routing bear trails and natural habitat areas and collecting animal activity observations. The sizes of individual species’ habitats were determined as well as predator’s influence on wild ungulates, living on the same territories, was studied. During research studies, conducted over a period of 10 years, a direct relation between bear population growth and wild ungulates’ population decrease on

Description: Tunnel boring machines (TBMs) are designed to excavate underground spaces and widely used in tunneling, civil and mining projects. TBM performance prediction substantially deals with the evaluation of machine’s penetration rate and the number of consumed disc cutters. There are various methods and equations to predict the TBMs performance in the literature. In this paper, we predicted the penetration rate and number of consumed disc cutters in Beheshtabad water conveyance tunneling project, one of the major water conveyance tunneling projects in Iran, using Artificial Neural Network (ANN) and Support Vector Machine (SVM) methods. Results showed that both approaches are very

Description: Three air pollution models, namely the ‘California Line Source’ (CALINE4) model, the ‘Unique Dispersion Model’ (UDM) and the ‘Simplified Type Dispersion Model’ (STM) have been analyzed for assessing the air pollutant concentration at one of the most congested traffic road in the city of New Delhi. The latter two models have been developed using the most influential input parameters of CALINE4 namely traffic flow and wind-speed observed by both sensitivity analysis and regression analysis studies. The model performance have been estimated and compared statistically with the traffic emitted airborne carbon monoxide (CO), the prevalent meteorology and the temporal distribution of

Description: The concept of soft set theory was introduced by D. Molodtsov in 1999 for modeling uncertainty. In [13] a special kinds of soft sets, namely soft neighborhood set, was defined and the relations between this concept and classical topology was given. In this paper, our aim is to extend the studies in [13]. We study on some properties of compactness and lower separation axioms in soft neighborhood sets and generalize Alexander subbase theorem and Tychonoff theorem to soft neighborhood sets. Content Type Journal Article Pages - DOI 10.3233/IFS-151605 Authors Banu Pazar Varol, Department of Mathematics, University of Kocaeli, Umuttepe Campus, Kocaeli, Turkey Halis Aygün, Department of Mathematics, University of Kocaeli, Umuttepe Campus, Kocaeli, Turkey Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: A new method to solve non-linear mixed-integer constrained power distribution system expansion planning problems in presence of distributed generations (DGs) is investigated in this paper. The objective functions of this model are total energy not supplied (ENS) as reliability index, total expansion cost, and total voltage deviation. The final optimal solution proposes type, location and size of new equipment to meet the demand growth in the distribution system. An intelligent population based optimization algorithm called Binary Shuffled Frog Leaping Algorithm (BSFLA) is proposed to solve the problem. The interactive fuzzy method is used to solve the multi-objective optimization problem, so that conflicting objective functions can be easily consider together and achieve a set of non-dominated (Pareto-optimal) solutions. The model is applied on a standard IEEE distribution system to demonstrate the efficiency and feasibility of proposed method. Content Type Journal Article Pages - DOI 10.3233/IFS-151600 Authors Majid Nayeripour, Department of Electrical & Electronic Engineering, Shiraz University of Technology, Shiraz, Iran Hossein Fallahzadeh-Abarghouei, Department of Electrical & Electronic Engineering, Shiraz University of Technology, Shiraz, Iran Saeed Hasanvand, Department of Electrical & Electronic Engineering, Shiraz University of Technology, Shiraz, Iran Mohammad-Esmaeil Hassanzadeh, Department of Electrical & Electronic Engineering, Shiraz University of Technology, Shiraz, Iran Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: Separation of convex sets by hyperplanes has been extensively studied on crisp sets. In a seminal paper from L. A. Zadeh [1] separability and convexity are investigated, however there is a flaw on the definition of degree of separation. We revisited separation on convex fuzzy sets that have level-wise (crisp) disjointness with non-empty interior at certain level and introduced the concept of minimal level of separation for such fuzzy sets. On this context, the smallest level in which a separation by a hyperplane occurs coincides with the maximal degree of the (fuzzy) intersection. Moreover, this property suggests an algorithm for finding the maximal grade of a (fuzzy) intersection based on hyperplane separability level-wise of fuzzy sets. Content Type Journal Article Pages - DOI 10.3233/IFS-151613 Authors Horacio Gómez-Acevedo, Arkansas Children's Nutrition Center and Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA Journal Journal of Intelligent and Fuzzy Systems Online ISSN 1875-8967 Print ISSN 1064-1246

Description: ASEAN - Improving Environmental Governance and Access to Justice (Amado S. Tolentino Jr) 95 APCEL / MFA - Urban and Industrial Environmental Management "The Singapore Model" (Koh Kheng-Lian) 102 Content Type Journal Article Pages 95-103 Journal Environmental Policy and Law Online ISSN 1878-5395 Print ISSN 0378-777X Journal Volume Volume 41 Journal Issue Volume 41, Number 2 / 2011

Description: Brazil - The Belo Monte Dam Case (Patricia Galindo da Fonseca and Antoine Bourgoignie) 104 Content Type Journal Article Pages 104-107 Journal Environmental Policy and Law Online ISSN 1878-5395 Print ISSN 0378-777X Journal Volume Volume 41 Journal Issue Volume 41, Number 2 / 2011

Description: IRENA / PrepCom-5 / Assembly-1 - Inaugural Meeting of IRENA Assembly 94 Content Type Journal Article Pages 94-94 Journal Environmental Policy and Law Online ISSN 1878-5395 Print ISSN 0378-777X Journal Volume Volume 41 Journal Issue Volume 41, Number 2 / 2011