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Fuzzy Systems, IEEE Transactions on

Issue 3 • Date Aug 1998

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  • FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling

    Publication Year: 1998 , Page(s): 373 - 388
    Cited by:  Papers (67)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (648 KB)  

    The author has developed a novel approach to fuzzy modeling from input-output data. Using the basic techniques of soft computing, the method allows supervised approximation of multi-input multi-output (MIMO) systems. Typically, a small number of rules are produced. The learning capacity of FuGeNeSys is considerable, as is shown by the numerous applications developed. The paper gives a significant ... View full abstract»

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  • Input/output stability theory for direct neuro-fuzzy controllers

    Publication Year: 1998 , Page(s): 331 - 345
    Cited by:  Papers (13)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (732 KB)  

    In an input/output (I/O) setting, we undertake a detailed theoretical investigation of the stability of a given direct static multiple-input single-output neuro-fuzzy controller operating under feedback control, dependent only on the functional gain of the plant to be controlled. It is shown that various stability regions in weight space are convex, and necessary and sufficient conditions are give... View full abstract»

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  • Two nonparametric models for fusing heterogeneous fuzzy data

    Publication Year: 1998 , Page(s): 411 - 425
    Cited by:  Papers (30)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (688 KB)  

    Two models are discussed that integrate heterogeneous fuzzy data of three types: real numbers, real intervals, and real fuzzy sets. The architecture comprises three modules: 1) an encoder that converts the mixed data into a uniform internal representation; 2) a numerical processing core that uses the internal representation to solve a specified task; and 3) a decoder that transforms the internal r... View full abstract»

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  • Application of statistical information criteria for optimal fuzzy model construction

    Publication Year: 1998 , Page(s): 362 - 372
    Cited by:  Papers (51)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (284 KB)  

    Theoretical studies have shown that fuzzy models are capable of approximating any continuous function on a compact domain to any degree of accuracy. However, constructing a good fuzzy model requires finding a good tradeoff between fitting the training data and keeping the model simple. A simpler model is not only easily understood, but also less likely to overfit the training data. Even though heu... View full abstract»

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  • Decoupled fuzzy sliding-mode control

    Publication Year: 1998 , Page(s): 426 - 435
    Cited by:  Papers (92)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (284 KB)  

    A decoupled fuzzy sliding-mode controller design is proposed. The decoupled method provides a simple way to achieve asymptotic stability for a class of fourth-order nonlinear systems with only five fuzzy control rules. The ideas behind the controller are as follows. First, decouple the whole system into two second-order systems such that each subsystem has a separate control target expressed in te... View full abstract»

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  • Neurofuzzy model-based predictive control of weld fusion zone geometry

    Publication Year: 1998 , Page(s): 389 - 401
    Cited by:  Papers (19)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (528 KB)  

    A closed-loop system is developed to control the weld fusion, which Is specified by the top-side and back-side bead widths of the weld pool. Because in many applications only a top-side sensor is allowed, which is attached to and moves with the welding torch, an image processing algorithm and neurofuzzy model have been incorporated to measure and estimate the top-side and back-side bead widths bas... View full abstract»

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  • Some remarks on the stability of Mamdani fuzzy control systems

    Publication Year: 1998 , Page(s): 436 - 442
    Cited by:  Papers (34)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (276 KB)  

    This paper presents a passivity approach to the stability analysis of Mamdani fuzzy control systems. The main idea of the paper is that the fuzzy controller can be considered from an input-output viewpoint as a nonlinear dissipative operator. An input-output approach is provided by considering a dynamical dependency of inputs of the fuzzy controller. Then the passivity theory is applied in order t... View full abstract»

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  • A survey of recent advances in fuzzy logic in telecommunications networks and new challenges

    Publication Year: 1998 , Page(s): 443 - 447
    Cited by:  Papers (38)  |  Patents (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (56 KB)  

    The use of fuzzy logic in telecommunication systems and networks is recent and limited. Fundamentally, Zadeh's fuzzy set theory provides a robust mathematical framework for dealing with “real-world” imprecision and nonstatistical uncertainty. Given that the present day complex networks are dynamic, that there is great uncertainty associated with the input traffic and other environmenta... View full abstract»

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  • On the stability issues of linear Takagi-Sugeno fuzzy models

    Publication Year: 1998 , Page(s): 402 - 410
    Cited by:  Papers (71)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (368 KB)  

    Stability issues of linear Takagi-Sugeno (TS) fuzzy models (1985, 1992) are investigated. We first propose a systematic way of searching for a common matrix, which, in turn, is related to stability for N subsystems that are under a pairwise commutative assumption. The robustness issue under uncertainty in each subsystem is then considered. We then show that the pairwise commutative assumption can,... View full abstract»

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  • Development of a systematic methodology of fuzzy logic modeling

    Publication Year: 1998 , Page(s): 346 - 361
    Cited by:  Papers (99)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (692 KB)  

    This paper proposes a systematic methodology of fuzzy logic modeling for complex system modeling. It has a unified parameterized reasoning formulation, an improved fuzzy clustering algorithm, and an efficient strategy of selecting significant system inputs and their membership functions. The reasoning mechanism introduces 4 parameters whose variation provides a continuous range of inference operat... 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