IEEE Transactions on Fuzzy Systems

Issue 3 • June 2004

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2004, Page(s): c1
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  • IEEE Transactions on Fuzzy Systems publication information

    Publication Year: 2004, Page(s): c2
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  • Complex dynamics through fuzzy chains

    Publication Year: 2004, Page(s):289 - 295
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (664 KB) | HTML iconHTML

    This paper gives a new contribution to characterize a class of complex systems build as arrays of coupled fuzzy logic based chaotic oscillators and investigates their dynamical features. Different spatio-temporal dynamics have been reproduced using interconnected fuzzy chaotic cells in order to study the effects, due to the variation of some parameters and network topologies, in the collective beh... View full abstract»

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  • Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms

    Publication Year: 2004, Page(s):296 - 308
    Cited by:  Papers (59)  |  Patents (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB) | HTML iconHTML

    This paper proposes a novel Adaboost algorithm to learn fuzzy-rule-based classifiers. Connections between iterative learning and boosting are analyzed in terms of their respective structures and the manner these algorithms address the cooperation-competition problem. The results are used to explain some properties of the former method. The evolutionary boosting scheme is applied to approximate and... View full abstract»

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  • Stability and stabilization of fuzzy large-scale systems

    Publication Year: 2004, Page(s):309 - 315
    Cited by:  Papers (84)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB) | HTML iconHTML

    This paper investigates the stability and stabilization problems for the fuzzy large-scale system in which the system is composed of a number of Takagi-Sugeno fuzzy model subsystems with interconnections. The stability criterion of the fuzzy large-scale system without control is derived first. Instead of fuzzy parallel distributed compensation design, linear state feedback control is used in the s... View full abstract»

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  • On new fuzzy morphological associative memories

    Publication Year: 2004, Page(s):316 - 323
    Cited by:  Papers (14)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (224 KB) | HTML iconHTML

    In this paper, the new fuzzy morphological associative memories (FMAMs) based on fuzzy operations (∧,·) and (∨,·) are presented. FMAM with (∨,·) is extremely robust for dilative noise and FMAM with (∧,·) is extremely robust for erosive noise. Autoassociative FMAM has the unlimited storage capability and can converge in one step. The convex autoassociative ... View full abstract»

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  • Generating an interpretable family of fuzzy partitions from data

    Publication Year: 2004, Page(s):324 - 335
    Cited by:  Papers (54)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    In this paper, we propose a new method to construct fuzzy partitions from data. The procedure generates a hierarchy including best partitions of all sizes from n to two fuzzy sets. The maximum size n is determined according to the data distribution and corresponds to the finest resolution level. We use an ascending method for which a merging criterion is needed. This criterion is based on the defi... View full abstract»

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  • Principal component analysis of fuzzy data using autoassociative neural networks

    Publication Year: 2004, Page(s):336 - 349
    Cited by:  Papers (31)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB) | HTML iconHTML

    This paper describes an extension of principal component analysis (PCA) allowing the extraction of a limited number of relevant features from high-dimensional fuzzy data. Our approach exploits the ability of linear autoassociative neural networks to perform information compression in just the same way as PCA, without explicit matrix diagonalization. Fuzzy input values are propagated through the ne... View full abstract»

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  • Observer-based robust H control for fuzzy systems using two-step procedure

    Publication Year: 2004, Page(s):350 - 359
    Cited by:  Papers (80)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    This paper investigates both robust H∞ analysis and synthesis problems involving observer-based fuzzy control via linear matrix inequality methods for which efficient optimization techniques are available. The observer and controller are capable of disturbance-rejection in the presence of unknown but bounded disturbance. We present results in a unified fashion applicable to both c... View full abstract»

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  • The fuzzy discrete-time robust regulation problem: an LMI approach

    Publication Year: 2004, Page(s):360 - 367
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (248 KB) | HTML iconHTML

    This paper is concerned with the design of a robust regulator capable of achieving trajectory tracking for discrete-time nonlinear systems under parameter uncertainty. By assuming that the behavior of the nonlinear system is described, at least locally, by a Takagi-Sugeno dynamic fuzzy model, an approach based in the combination of this fuzzy modeling and the regulator theory is presented. Conditi... View full abstract»

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  • Output feedback tracking control of robot manipulators with model uncertainty via adaptive fuzzy logic

    Publication Year: 2004, Page(s):368 - 378
    Cited by:  Papers (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (456 KB) | HTML iconHTML

    Many robot controllers require not only joint position measurements but also joint velocity measurements; however, most robotic systems are only equipped with joint position measurement devices. In this paper, a new output feedback tracking control approach is developed for the robot manipulators with model uncertainty. The approach suggested herein does not require velocity measurements and emplo... View full abstract»

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  • A new computational approach to stability analysis and synthesis of linguistic fuzzy control system

    Publication Year: 2004, Page(s):379 - 388
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (384 KB) | HTML iconHTML

    In this paper, stability analysis and synthesis of the type-II (Singleton-type) linguistic fuzzy control system are addressed. First, stability theorems are given for both continuous-time case and discrete-time case and they are recast in the formulation of bilinear matrix inequalities (BMIs). Continuous and discrete iterative linear matrix inequality methods are presented to obtain the feasible s... View full abstract»

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  • Designing a successful trading agent:A fuzzy set approach

    Publication Year: 2004, Page(s):389 - 410
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (832 KB) | HTML iconHTML

    Software agents are increasingly being used to represent humans in online auctions. Such agents have the advantages of being able to systematically monitor a wide variety of auctions and then make rapid decisions about what bids to place in what auctions. They can do this continuously and repetitively without losing concentration. To provide a means of evaluating and comparing (benchmarking) resea... View full abstract»

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  • Fuzzy identification using fuzzy neural networks with stable learning algorithms

    Publication Year: 2004, Page(s):411 - 420
    Cited by:  Papers (148)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB) | HTML iconHTML

    In general, fuzzy neural networks cannot match nonlinear systems exactly. Unmodeled dynamic leads parameters drift and even instability problem. According to system identification theory, robust modification terms must be included in order to guarantee Lyapunov stability. This paper suggests new learning laws for Mamdani and Takagi-Sugeno-Kang type fuzzy neural networks based on input-to-state sta... View full abstract»

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  • IEEE Neural Networks Society Information

    Publication Year: 2004, Page(s): c3
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  • IEEE Transactions on Fuzzy Systems Information for authors

    Publication Year: 2004, Page(s): c4
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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
Jonathan Garibaldi
University of Nottingham
Nottingham NG8 1BB, U.K. 
jon.garibaldi@nottingham.ac.uk
Phone: +44 115 95 14216
Fax: +44 115 95 14799