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IEEE Transactions on Fuzzy Systems

Issue 6 • Date Dec. 1999

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Displaying Results 1 - 19 of 19
  • Comments on "Choquet fuzzy integral-based hierarchical networks for decision analysis" [with reply]

    Publication Year: 1999, Page(s):767 - 768
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (54 KB)

    We remark on an error in the above paper by Chiang (ibid. vol.7 (1999)). The purpose of this note is to present the correct formulas for partial derivatives of fuzzy integral-based neural nodes with respect to densities of Sugeno measures. In reply, Chiang agree with the correction. View full abstract»

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  • Author's reply

    Publication Year: 1999, Page(s): 768
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (36 KB)

    First Page of the Article
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  • Comments on "Analysis and design of fuzzy controller and fuzzy observer" [with reply]

    Publication Year: 1999, Page(s):769 - 770
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (25 KB)

    The main advantage of Takagi-Sugeno (TS) fuzzy model is the ability to approximate the nonlinear systems from the input-output data without the complex mathematical equations. In order to obtain TS fuzzy model from the input-output data, all the system variables should be measurable. Therefore, in case of TS fuzzy model-based control, the observer design is of no good except the very special case.... View full abstract»

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  • Authors' reply

    Publication Year: 1999, Page(s): 770
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6 KB)

    First Page of the Article
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  • Author index

    Publication Year: 1999, Page(s):1 - 3
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    Freely Available from IEEE
  • Subject index

    Publication Year: 1999, Page(s):3 - 10
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    Freely Available from IEEE
  • Time-dependent differential inclusions, cocycle attractors and fuzzy differential equations

    Publication Year: 1999, Page(s):734 - 740
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    Traditional formulations of fuzzy differential equations do not reproduce the rich and varied behavior of crisp differential equations (DEs). A recent interpretation in terms of differential inclusions, expressed level setwise, overcomes this deficiency and opens up for profitable investigation such properties as stability, attraction, periodicity, and the like. This is especially important for in... View full abstract»

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  • Hierarchical unsupervised fuzzy clustering

    Publication Year: 1999, Page(s):723 - 733
    Cited by:  Papers (30)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (308 KB)

    A recursive algorithm for hierarchical fuzzy partitioning is presented. The algorithm has the advantages of hierarchical clustering, while maintaining fuzzy clustering rules. Each pattern can have a nonzero membership in more than one subset of the data in the hierarchy. Optimal feature extraction and reduction is optionally reapplied for each subset. Combining hierarchical and fuzzy concepts is s... View full abstract»

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  • Deadzone compensation in discrete time using adaptive fuzzy logic

    Publication Year: 1999, Page(s):697 - 707
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    A fuzzy logic (FL) compensator is designed for control of nonlinear discrete-time systems with input deadzone. The classification property of FL systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A discrete-time tuning algorithm is given for the FL parameters so that the deadzone compensation scheme becomes... View full abstract»

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  • Piecewise quadratic stability of fuzzy systems

    Publication Year: 1999, Page(s):713 - 722
    Cited by:  Papers (480)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    Presents an approach to stability analysis of fuzzy systems. The analysis is based on Lyapunov functions that are continuous and piecewise quadratic. The approach exploits the gain-scheduling nature of fuzzy systems and results in stability conditions that can be verified via convex optimization over linear matrix inequalities. Examples demonstrate the many improvements over analysis based on a si... View full abstract»

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  • Handling complex and uncertain information in the ExIFO and NF2 data models

    Publication Year: 1999, Page(s):659 - 676
    Cited by:  Papers (27)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    Trends in databases leading to complex objects present opportunities for representing imprecision and uncertainty that were difficult to integrate cohesively in simpler database models. In fact, one can begin at the conceptual level with a model that allows uncertainty assumptions and then transform those assumptions into a logical model having the necessary semantic foundations upon which to base... View full abstract»

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  • A highly interpretable form of Sugeno inference systems

    Publication Year: 1999, Page(s):686 - 696
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    We present a form of fuzzy inference systems (FISs) that is highly interpretable and easy to manipulate. The form is based on a judicious choice of membership functions that have strong locality and differentiability properties and on a modification of the Sugeno and generalized Sugeno forms of the consequent polynomials so as to make them rule centered. Under these conditions, the coefficients in... View full abstract»

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  • A systematic method for design of multivariable fuzzy logic control systems

    Publication Year: 1999, Page(s):741 - 752
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    This paper proposes a systematic method to design a multivariable fuzzy logic controller for large-scale nonlinear systems. In designing a fuzzy logic controller, the major task is to determine fuzzy rule bases, membership functions of input/output variables, and input/output scaling factors. In this work, the fuzzy rule base is generated by a rule-generated function, which is based on the negativ... View full abstract»

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  • Fuzzy order statistics and their application to fuzzy clustering

    Publication Year: 1999, Page(s):708 - 712
    Cited by:  Papers (45)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB)

    The median and the median absolute deviation (MAD) are robust statistics based on order statistics. Order statistics are extended to fuzzy sets to define a fuzzy median and a fuzzy MAD. The fuzzy c-means (FCM) clustering algorithm is defined for any p-norm (pFCM), including the l1-norm (1FCM), The 1FCM clustering algorithm is implemented via the alternating optimization (AO) method and ... View full abstract»

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  • A fuzzy approach to strategic games

    Publication Year: 1999, Page(s):634 - 642
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB)

    A game is a decision-making situation with many players, each having objectives that conflict with each other. The players involved in the game usually make their decisions under conditions of risk or uncertainty. In the paper, a fuzzy approach is proposed to solve the strategic game problem in which the pure strategy set for each player is already defined. Based on the concepts of fuzzy set theor... View full abstract»

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  • A method for ranking fuzzy numbers and its application to decision-making

    Publication Year: 1999, Page(s):677 - 685
    Cited by:  Papers (76)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (196 KB)

    Since fuzzy numbers represent uncertain numeric values, it is difficult to rank them according to their magnitude. In the paper, a method for ranking fuzzy numbers is proposed. The method considers the overall possibility distributions of fuzzy numbers in their evaluations for ranking and provides users with a method of changing viewpoints for evaluations. Users represent their viewpoints with fuz... View full abstract»

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  • Fuzzy interpretation of discretized intervals

    Publication Year: 1999, Page(s):753 - 759
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (168 KB)

    When there are both numerical and nominal attributes in a database, existing data mining systems (such as rule induction and decision tree construction) discretize numerical domains into intervals and the discretized intervals are treated in a similar way to nominal values during induction. This paper describes a type of fuzzy intervals implemented in the HCV version 2.0 rule induction software fo... View full abstract»

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  • Type-2 fuzzy logic systems

    Publication Year: 1999, Page(s):643 - 658
    Cited by:  Papers (619)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (484 KB)

    We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on “output processing,” which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction capture... View full abstract»

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  • new electrosensitive traffic light using fuzzy neural network

    Publication Year: 1999, Page(s):759 - 767
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    In the past, when there were few vehicles on the roads, the time-of-day (TOD) traffic signal worked very well. The TOD signal operates on a preset signal-cycling scheme independent of traffic conditions. It cycles on the basis of the number of average passenger cars to the memory device of an electric signal unit. Today, with the increasing traffic and congested roads, the conventional traffic lig... 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