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IEEE Transactions on Fuzzy Systems

Issue 6 • Date Dec. 2003

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Displaying Results 1 - 16 of 16
  • Comments on the benchmarks in "A proposal for improving the accuracy of Linguistic Modeling" and related articles

    Publication Year: 2003, Page(s):861 - 865
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (418 KB) | HTML iconHTML

    In the above paper by Cordon and Herrara (IEEE Trans. Fuzzy Syst., vol. 8, p. 335-44, 2000), the so-called accurate linguistic modeling (ALM) method was proposed to improve the accuracy of linguistic fuzzy models. A number of examples are given to demonstrate the benefits of the approach. We show that: 1) these examples are not suitable as benchmarks or demonstrators of nonlinear modeling techniqu... View full abstract»

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  • Author index

    Publication Year: 2003, Page(s):870 - 873
    Request permission for commercial reuse | PDF file iconPDF (178 KB)
    Freely Available from IEEE
  • Subject index

    Publication Year: 2003, Page(s):873 - 880
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    Freely Available from IEEE
  • The WM method completed: a flexible fuzzy system approach to data mining

    Publication Year: 2003, Page(s):768 - 782
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (997 KB) | HTML iconHTML

    In this paper, the so-called Wang-Mendel (WM) method for generating fuzzy rules from data is enhanced to make it a comprehensive and flexible fuzzy system approach to data description and prediction. In the description part, the core ideas of the WM method are used to develop three methods to extract fuzzy IF-THEN rules from data. The first method shows how to extract rules for the user-specified ... View full abstract»

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  • Adaptive fuzzy robust tracking controller design via small gain approach and its application

    Publication Year: 2003, Page(s):783 - 795
    Cited by:  Papers (56)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (884 KB) | HTML iconHTML

    An adaptive fuzzy robust tracking control (AFRTC) algorithm is proposed for a class of nonlinear systems with the uncertain system function and uncertain gain function, which are all the unstructured (or nonrepeatable) state-dependent unknown nonlinear functions arising from modeling errors and external disturbances. The Takagi-Sugeno type fuzzy logic systems are used to approximate unknown uncert... View full abstract»

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  • Author's reply [to comments on 'A proposal to improve the accuracy of linguistic modelling']

    Publication Year: 2003, Page(s):866 - 869
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (179 KB) | HTML iconHTML

    In our opinion, there are two main concerns in Roubos and Babugka's note, that are summarized as follows. 1) The kinds of problems used in our paper to test the algorithm proposed in "A proposal to improve the accuracy of linguistic modeling" and other studies. The authors claim that they are very simple to be considered as benchmarks for nonlinear modeling techniques. 2) The interpretability of t... View full abstract»

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  • A fuzzy approach to the balance of drop and delay priorities in differentiated services networks

    Publication Year: 2003, Page(s):840 - 846
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (379 KB) | HTML iconHTML

    Two of the objectives of Internet are to increase network capacity and offer high quality of differentiated services for traffic with real-time and nonreal-time requirements. Differentiated services (Diff-Serv) were established to fulfill such objectives. Up until now, several Diff-Serv schemes have been proposed which, among others, handle drop and delay priorities. These two priorities raise imp... View full abstract»

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  • Noble reinforcement in disjunctive aggregation operators

    Publication Year: 2003, Page(s):754 - 767
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1035 KB) | HTML iconHTML

    We discuss the role of disjunctive aggregation operators in prototype based reasoning systems such as recommender systems. We indicate a need for these aggregation operators to have the additional property of noble reinforcement: Allowing a collection of high valued arguments to reinforce each other to give complete satisfaction while avoiding the situation in which a collection of low valued argu... View full abstract»

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  • Multiobjective identification of Takagi-Sugeno fuzzy models

    Publication Year: 2003, Page(s):847 - 860
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1048 KB) | HTML iconHTML

    The problem of identifying the parameters of the constituent local linear models of Takagi-Sugeno fuzzy models is considered. In order to address the tradeoff between global model accuracy and interpretability of the local models as linearizations of a nonlinear system, two multiobjective identification algorithms are studied. Particular attention is paid to the analysis of conflicts between objec... View full abstract»

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  • "Fuzzy" versus "nonfuzzy" in combining classifiers designed by Boosting

    Publication Year: 2003, Page(s):729 - 741
    Cited by:  Papers (60)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1031 KB) | HTML iconHTML

    Boosting is recognized as one of the most successful techniques for generating classifier ensembles. Typically, the classifier outputs are combined by the weighted majority vote. The purpose of this study is to demonstrate the advantages of some fuzzy combination methods for ensembles of classifiers designed by Boosting. We ran two-fold cross-validation experiments on six benchmark data sets to co... View full abstract»

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  • Optimal tracking design for stochastic fuzzy systems

    Publication Year: 2003, Page(s):796 - 813
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1311 KB) | HTML iconHTML

    In general, fuzzy control design for stochastic nonlinear systems is still difficult since the fuzzy bases are stochastic so as to increase the difficulty and complexity of the fuzzy tracking control design. In this study, a fuzzy stochastic moving-average model with control input (fuzzy ARMAX model) is introduced to describe nonlinear stochastic systems. From the fuzzy ARMAX model, a fuzzy one-st... View full abstract»

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  • Generalized weighted conditional fuzzy clustering

    Publication Year: 2003, Page(s):709 - 715
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (485 KB) | HTML iconHTML

    Fuzzy clustering helps to find natural vague boundaries in data. The fuzzy c-means method is one of the most popular clustering methods based on minimization of a criterion function. Among many existing modifications of this method, conditional or context-dependent c-means is the most interesting one. In this method, data vectors are clustered under conditions based on linguistic terms represented... View full abstract»

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  • Approaches to quadratic stability conditions and H control designs for T-S fuzzy systems

    Publication Year: 2003, Page(s):830 - 839
    Cited by:  Papers (110)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (912 KB) | HTML iconHTML

    In this paper, the problems of quadratic stability conditions and H control designs for Takagi-Sugeno (T-S) fuzzy systems have been studied. First, a new quadratic stability condition, which is more simple than that in a previous paper, has been proposed. Second, two new sufficient conditions in the terms of linear matrix inequalities (LMIs) which guarantee the existence of the s... View full abstract»

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  • Nonlinear internal model control: application of inverse model based fuzzy control

    Publication Year: 2003, Page(s):814 - 829
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1042 KB) | HTML iconHTML

    This paper investigates the possible applications of dynamical fuzzy systems to control nonlinear plants with asymptotically stable zero dynamics using a fuzzy nonlinear internal model control strategy. The developed strategy consists in including a dynamical Takagi-Sugeno fuzzy model of the plant within the control structure. In this way, the controller design simply results in a fuzzy model inve... View full abstract»

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  • Computing with words via Turing machines: a formal approach

    Publication Year: 2003, Page(s):742 - 753
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1050 KB) | HTML iconHTML

    Computing with words (CW) as a methodology, means computing and reasoning by the use of words in place of numbers or symbols, which may conform more to humans' perception when describing real-world problems. In this paper, as a continuation of a previous paper, we aim to develop and deepen a formal aspect of CW. According to the previous paper, the basic point of departure is that CW treats certai... View full abstract»

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  • Support vector learning for fuzzy rule-based classification systems

    Publication Year: 2003, Page(s):716 - 728
    Cited by:  Papers (79)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (703 KB) | HTML iconHTML

    To design a fuzzy rule-based classification system (fuzzy classifier) with good generalization ability in a high dimensional feature space has been an active research topic for a long time. As a powerful machine learning approach for pattern recognition problems, the support vector machine (SVM) is known to have good generalization ability. More importantly, an SVM can work very well on a high- (o... 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.

Full Aims & Scope

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