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IEEE Transactions on Fuzzy Systems

Issue 6 • Date Dec. 2005

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Displaying Results 1 - 19 of 19
  • Table of contents

    Publication Year: 2005, Page(s): c1
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  • IEEE Transactions on Fuzzy Systems publication information

    Publication Year: 2005, Page(s): c2
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  • Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor

    Publication Year: 2005, Page(s):725 - 741
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (832 KB) | HTML iconHTML

    One of the most important objectives in the design of control systems is to achieve the good tracking performance in the presence of the internal parameter uncertainty and external disturbance. In this paper, a new multiple-input-multiple-output (MIMO) fuzzy disturbance observer (FDO) based on output measurement is developed to achieve the goal. A filtered signal is introduced to resolve the algeb... View full abstract»

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  • Fuzzy nonlinear regression with fuzzified radial basis function network

    Publication Year: 2005, Page(s):742 - 760
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (848 KB) | HTML iconHTML

    A fuzzified radial basis function network (FRBFN) is a kind of fuzzy neural network that is obtained by direct fuzzification of the well known neural model RBFN. A FRBFN contains fuzzy weights and can handle fuzzy-in fuzzy-out data. This paper shows that a FRBFN can also be interpreted as a kind of fuzzy expert system. Hence it owns the advantages of simple structure and clear physical meaning. So... View full abstract»

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  • Design of a multilevel fuzzy controller for nonlinear systems and stability analysis

    Publication Year: 2005, Page(s):761 - 778
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (808 KB) | HTML iconHTML

    In this paper, a multilevel fuzzy control (MLFC) system is developed and implemented to deal with the real-world nonlinear plants with intrinsic uncertainties and time-varying parameters. The proposed fuzzy control strategy has a hierarchical structure with an adaptation mechanism embedded in the lower level to tune the output membership functions (MFs) of the first layer fuzzy controller and can ... View full abstract»

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  • Decentralized PDC for large-scale T-S fuzzy systems

    Publication Year: 2005, Page(s):779 - 786
    Cited by:  Papers (49)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB) | HTML iconHTML

    This paper studies the decentralized stabilization problem for a large-scale system. The considered large-scale system comprises of a number of subsystems and each subsystem is represented by a Takagi-Sugeno (T-S) fuzzy model. The interconnection between any two subsystems may be nonlinear and satisfies some matching condition. By the concept of parallel distributed compensation (PDC), the decentr... View full abstract»

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  • Stabilization of uncertain fuzzy time-delay systems via variable structure control approach

    Publication Year: 2005, Page(s):787 - 798
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB) | HTML iconHTML

    In view of a recent new application of variable structure control (VSC) to the stabilization problem for Takagi-Sugeno (T-S) fuzzy models, this paper aims to study the stabilization of uncertain fuzzy time-delay systems in T-S fuzzy model via VSC approach. There are mainly two features in this paper: one lies in the incorporation of time-delays (both smooth and nonsmooth delays) in which case Lyap... View full abstract»

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  • NFI: a neuro-fuzzy inference method for transductive reasoning

    Publication Year: 2005, Page(s):799 - 808
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB) | HTML iconHTML

    This paper introduces a novel neural fuzzy inference method-NFI for transductive reasoning systems. NFI develops further some ideas from DENFIS-dynamic neuro-fuzzy inference systems for both online and offline time series prediction tasks. While inductive reasoning is concerned with the development of a model (a function) to approximate data in the whole problem space (induction), and consecutivel... View full abstract»

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  • Fuzzy rule interpolation for multidimensional input spaces with applications: a case study

    Publication Year: 2005, Page(s):809 - 819
    Cited by:  Papers (65)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (696 KB) | HTML iconHTML

    Fuzzy rule based systems have been very popular in many engineering applications. However, when generating fuzzy rules from the available information, this may result in a sparse fuzzy rule base. Fuzzy rule interpolation techniques have been established to solve the problems encountered in processing sparse fuzzy rule bases. In most engineering applications, the use of more than one input variable... View full abstract»

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  • A new fuzzy support vector machine to evaluate credit risk

    Publication Year: 2005, Page(s):820 - 831
    Cited by:  Papers (92)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (464 KB) | HTML iconHTML

    Due to recent financial crises and regulatory concerns, financial intermediaries' credit risk assessment is an area of renewed interest in both the academic world and the business community. In this paper, we propose a new fuzzy support vector machine to discriminate good creditors from bad ones. Because in credit scoring areas we usually cannot label one customer as absolutely good who is sure to... View full abstract»

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  • Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping and application to chemical processes

    Publication Year: 2005, Page(s):832 - 847
    Cited by:  Papers (52)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (584 KB) | HTML iconHTML

    Fuzzy approximate disturbance decoupling concept is introduced for a class of multiple-input-multiple-output (MIMO) nonlinear systems with completely unknown nonlinearities. Based on backstepping technique, a fuzzy almost disturbance decoupling control scheme is proposed. The fuzzy controllers guarantee internal uniform ultimate boundedness of the closed-loop adaptive systems and render a bounded ... View full abstract»

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  • A probabilistic fuzzy logic system for modeling and control

    Publication Year: 2005, Page(s):848 - 859
    Cited by:  Papers (48)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    In this paper, a probabilistic fuzzy logic system (PFLS) is proposed for the modeling and control problems. Similar to the ordinary fuzzy logic system (FLS), the PFLS consists of the fuzzification, inference engine and defuzzification operation to process the fuzzy information. Different to the FLS, it uses the probabilistic modeling method to improve the stochastic modeling capability. By using a... View full abstract»

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  • Correction to “Fuzzy Risk Analysis Based on Similarity Measures of Generalized Fuzzy Numbers”

    Publication Year: 2005, Page(s): 860
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  • Quality without compromise [advertisement]

    Publication Year: 2005, Page(s): 861
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  • Put your technology leadership in writing

    Publication Year: 2005, Page(s): 862
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  • IEEE Member Digital Library

    Publication Year: 2005, Page(s): 863
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  • 2005 Index

    Publication Year: 2005, Page(s):864 - 872
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2005, Page(s): c3
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  • IEEE Transactions on Fuzzy Systems Information for authors

    Publication Year: 2005, 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
Chin-Teng Lin
National Chiao-Tung University
Hsinchu 30010, Taiwan 
ctlin@mail.nctu.edu.tw
Phone: 886-3-5731753
Fax: 886-3-5727382