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  • Blackwell Publishers Ltd  (3)
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  • 1
    Electronic Resource
    Electronic Resource
    Development of a fuzzy push delivery scheme for Internet sites (1999)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 16 (1999), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Push technology is the term recently linked with Web-based products to indicate the built-in capability of the software package to deliver relevant information to the user automatically. In this paper, a fuzzy push delivery scheme is described which ‘observes’ the movements of the user within the Web pages and then evaluates the personal interests and preferences of the user. With the information available from the fuzzy scheme, Web site information favoured by visitors can be ‘pushed’ to them without even being requested. To verify the feasibility of the concept, a Web site with various shopping spots has been developed with built-in functions to detect the time of stay in various sites by visitors . Output from the proposed fuzzy scheme is compared with the perception of the interest level given by the visitors themselves for its evaluation. The built-in feature of the scheme can significantly enhance the functionality and attractiveness of the Web site involved and hence improve its competitiveness in the global market. The development of the proposed scheme and its evaluation in an emulated Internet environment are covered in the paper.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00099
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Monitoring the supply of products in a supply chain environment: a fuzzy neural approach (2002)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 19 (2002), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Fuzzy logic principles and neural networks, both being computational intelligence technologies, can be combined to produce synergetic effects through the formation of a unified approach which takes advantage of the benefits and at the same time counterbalances the flaws of the two technologies. In this paper, a fuzzy neural approach, which is characterized by its ability to suggest the appropriate adjustment of product quantity from various suppliers with different quality standards in a supply chain network, is presented. This approach is particularly useful in situations where multiple supply chain partners are involved to achieve the common objective of producing products to the best satisfaction of customer demands at the lowest possible cost. To validate the feasibility of this approach, a test has been conducted based on the proposed fuzzy neural approach with the objective of suggesting the appropriate selection of suppliers and the optimal quantity allocated to them to meet the required quality standards. This paper describes the methodology for the deployment of this proposed hybrid approach to enhance the machine intelligence of a supply chain network with the description of a case study to exemplify its underlying principles.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00208
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  • 3
    Electronic Resource
    Electronic Resource
    Development of an Intelligent Data-Mining System for a Dispersed Manufacturing Network (2001)
    Oxford, UK and Boston, USA : Blackwell Publishers Ltd
    Expert systems 18 (2001), S. 0 
    Details
    ISSN: 1468-0394
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Computer Science
    Notes: Recent advances related to on-line analytical processing (OLAP) have resulted in a significant improvement in data analysis efficiency by virtue of its multidimensional database structure and pre-computing operations of measuring data. However, the research related to the design and implementation of OLAP, particularly in the support of dispersed manufacturing networks in terms of ‘intelligent decision making’, has yet to be considered as remarkable. Research studies indicate that the level of intelligence of decision support systems can be enhanced with the incorporation of computational intelligence techniques such as case-based reasoning or rule-based reasoning. This paper describes the development of an intelligent data-mining system using a rule-based OLAP approach which can be adopted to support dispersed manufacturing networks in terms of performance enhancement. In this paper, the techniques, methods and infrastructure for the development of such a data-mining system, which possesses certain intelligent features, are presented. To validate the feasibility of this approach, a case example related to the testing of the approach in an emulated industrial environment is covered.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/1468-0394.00172
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