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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46354

    Title: Design of fuzzy systems with fewer rules
    Authors: 翁慶昌;Wong, Ching-chang;Feng, Hsuan-ming
    Contributors: 淡江大學電機工程學系
    Date: 2003-03-01
    Issue Date: 2010-03-26 22:06:27 (UTC+8)
    Publisher: Taylor & Francis
    Abstract: This article presents an innovative method for designing fuzzy systems composed of fewer fuzzy rules. The conventional approach to fuzzy-system design usually assumes that there exists no correlation among input variables, therefore, grid-type fuzzy partitions are widely adopted. However, in many cases, it is likely that input variables are highly correlated with one another. To avoid the problem of growth of partitioned grids in some complex system, we used an aggregation of hyperrectangulars with different size and different positions to approximate fuzzy partitions that are arbitrarily shaped. The corresponding parameters defining these hyperrectangulars are selected by using genetic algorithms. Furthermore, the number of fuzzy rules of the constructed system can be automatically minimized by choosing a special fitness function that takes this factor into account. Finally, an inverted pendulum control and nonlinear modeling problems are utilized to illustrate the effectiveness of the proposed method.
    Relation: Cybernetics and Systems 34(2), pp.139-160
    DOI: 10.1080/01969720302864
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Journal Article

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