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  • 1
    Electronic Resource
    Electronic Resource
    Scenario-based knowledge representation in case-based reasoning systems (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: A scenario-based representation model for cases in the domain of managerial decision-making is proposed. The scenarios in narrative texts are converted to scenario units of knowledge organization. The elements and structure of the scenario unit are defined. The scenario units can be linked together or coupled with others. Compared with traditional case representation methods based on database tables or frames, the proposed model is able to represent knowledge in the domain of managerial decision-making at a much deeper level and provide much more support for case-based systems employed in business decision-making.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00230
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  • 2
    Electronic Resource
    Electronic Resource
    Feature space theory in data mining: transformations between extensions and intensions in knowledge representation (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Knowledge representation is one of the important topics in data mining research. In this paper, based on the feature space theory in data mining, the transformation between extensions and intensions of concepts is discussed in detail. First, inner projections of fuzzy relations, as a basic mathematical tool, are defined, and properties of inner projections are discussed. Then inner transformation of fuzzy relations, inverse inner transformations, and related properties are introduced. The concept structure is shown by feature spaces. Lastly, transformations between extensions and intensions are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00226
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  • 3
    Electronic Resource
    Electronic Resource
    A knowledge processing method for intelligent systems based on inclusion degree (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: The probability reasoning method, fuzzy reasoning method, evidential reasoning method and other reasoning methods are main techniques employed in intelligent systems for processing uncertain and vague information. The concept of inclusion degree was proposed earlier and it has been proved that the methods mentioned above are examples of inclusion degrees. In this paper, we introduce type S1 and type S2 inclusion degrees, discuss the relationship between them, and further propose inclusion degrees on interval numbers, divisions, vectors and set vectors. This paper addresses an uncertainty analysis method with different inclusion degrees for intelligent systems and other systems such as fuzzy relational databases.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00243
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  • 4
    Electronic Resource
    Electronic Resource
    A variational approach to intensity approximation for remote sensing images using dynamic neural networks (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: In remote sensing image processing, image approximation, or obtaining a high-resolution image from a corresponding low-resolution image, is an ill-posed inverse problem. In this paper, the regularization method is used to convert the image approximation problem into a solvable variational problem. In regularization, the constraints on smoothness and discontinuity are considered, and the original ill-posed problem is thereby converted to a well-posed optimization problem. In order to solve the variational problem, a Hopfield-type dynamic neural network is developed. This neural network possesses two states that describe the discrepancy between a pixel and adjacent pixels, the intensity evolution of a pixel and two kinds of corresponding weights. Based on the experiment in this study with a Landsat TM image free of added noise and a noisy image, the proposed approach provides better results than other methods. The comparison shows the feasibility of the proposed approach.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00240
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  • 5
    Electronic Resource
    Electronic Resource
    A programmable agent for knowledge discovery on the Web (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: With the tremendous amount of information that is becoming available on the Web, the ability to develop information agents quickly has become a crucial problem. In this paper, a programmable agent is presented for Internet application to retrieve and extract information from the Web with user's guidance. The agent consists of a retrieval script to identify Web sources, an extraction script based on the document object model for the extraction process and a data translator to export the extracted information into knowledge-based frame structures. A GUI tool called Script Writer supports the generation of extraction script visually.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00228
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  • 6
    Electronic Resource
    Electronic Resource
    An intelligent agent with layered architecture for operating systems resource management (2003)
    Oxford, UK : Blackwell Publishing
    Expert systems 20 (2003), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00241
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