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IEEE Transactions on Fuzzy Systems

Issue 6 • Date Dec. 2001

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Displaying Results 1 - 8 of 8
  • Author index

    Publication Year: 2001, Page(s):836 - 838
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  • Subject index

    Publication Year: 2001, Page(s):839 - 846
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  • Powerful and flexible fuzzy algorithm for nonlinear dynamic system identification

    Publication Year: 2001, Page(s):828 - 835
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (255 KB) | HTML iconHTML

    A new powerful and flexible fuzzy algorithm for nonlinear dynamic system identification is presented. It is based on the identification of the derivative of the system state, instead of the future system state. The membership functions of the underlying static fuzzy model are two-sided Gaussian functions and the learning algorithm is a hybrid-nested routine based on least-squares, quasi-Newton and... View full abstract»

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  • H∞ decentralized fuzzy model reference tracking control design for nonlinear interconnected systems

    Publication Year: 2001, Page(s):795 - 809
    Cited by:  Papers (119)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (393 KB) | HTML iconHTML

    In general, due to the interactions among subsystems, it is difficult to design an H decentralized controller for nonlinear interconnected systems. The model reference tracking control problem of nonlinear interconnected systems is studied via H decentralized fuzzy control method. First, the nonlinear interconnected system is represented by an equivalent Takagi... View full abstract»

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  • Rule chaining in fuzzy expert systems

    Publication Year: 2001, Page(s):822 - 828
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (131 KB) | HTML iconHTML

    A fuzzy expert system must do rule chaining differently than a nonfuzzy expert system. In particular, any rule that can fire with a particular linguistic variable in its consequent must fire before any rule whose antecedent conditions depend upon the resultant fuzzy set value of the consequent linguistic variable is allowed to fire. The dependent rules would be considered in a chain with the fuzzy... View full abstract»

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  • Appropriate choice of aggregation operators in fuzzy decision support systems

    Publication Year: 2001, Page(s):773 - 784
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB) | HTML iconHTML

    Fuzzy logic provides a mathematical formalism for a unified treatment of vagueness and imprecision that are ever present in decision support and expert systems in many areas. The choice of aggregation operators is crucial to the behavior of the system that is intended to mimic human decision making. The paper discusses how aggregation operators can be selected and adjusted to fit empirical data: a... View full abstract»

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  • Robust TSK fuzzy modeling for function approximation with outliers

    Publication Year: 2001, Page(s):810 - 821
    Cited by:  Papers (66)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (363 KB) | HTML iconHTML

    The Takagi-Sugeno-Kang (TSK) type of fuzzy models has attracted a great attention of the fuzzy modeling community due to their good performance in various applications. Most approaches for modeling TSK fuzzy rules define their fuzzy subspaces based on the idea of training data being close enough instead of having similar functions. Besides, training data sets algorithms often contain outliers, whi... View full abstract»

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  • Lexicographic use of Sugeno integrals and monotonicity conditions

    Publication Year: 2001, Page(s):785 - 794
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (287 KB) | HTML iconHTML

    The Sugeno integral is very useful but its sensitivity is low. In order to overcome this disadvantage, the author proposes the lexicographic order induced by Sugeno integrals, which is called the LS order. It is an extension of useful orderings such as the ordinary lexicographic order, the leximax (the lexicographic maximax rule), and the leximin (the lexicographic maximin rule). Concerning the se... View full abstract»

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Aims & Scope

The IEEE Transactions on Fuzzy Systems (TFS) is published bimonthly. TFS will consider papers that deal with the theory, design or an application of fuzzy systems ranging from hardware to software.

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Meet Our Editors

Editor-in-Chief
Chin-Teng Lin
National Chiao-Tung University
Hsinchu 30010, Taiwan 
ctlin@mail.nctu.edu.tw
Phone: 886-3-5731753
Fax: 886-3-5727382