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IEEE Transactions on Fuzzy Systems

Issue 1 • Date Feb. 1994

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Displaying Results 1 - 14 of 14
  • Comments on "The efficacy of fuzzy representations of uncertainty"

    Publication Year: 1994
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (53 KB)

    The author expresses agreement with the original paper, by M. Laviolette and J.W. Seaman (ibid., p.4-15), saying that probability is the only satisfactory measure of one's personal uncertainty about the world. The reason for this emphatic statement is that there exist several axiom systems that produce, as theorems, the rules of probability. In particular, the author criticises the use of fuzzy lo... View full abstract»

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  • Comments on "Editorial: fuzzy models - what are they and why?

    Publication Year: 1994
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (130 KB)

    In the editorial by J.C. Bezdek (ibid., p.1), an example is presented to demonstrate differences between fuzzy membership and probability. The authors argue that probability can be used in a way much more closely analogous to this use of fuzzy membership, weakening the argument for the latter.<> View full abstract»

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  • Unity and diversity of fuzziness-from a probability viewpoint

    Publication Year: 1994, Page(s):38 - 42
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (516 KB)

    Like the fields of probability and statistics, fuzzy set theory is characterized by a variety of viewpoints. Adherents of fuzzy methods, however, consistently maintain that probability is not necessarily the optimal representation of uncertainty. We rebut this view View full abstract»

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  • Vagueness and Bayesian probability

    Publication Year: 1994, Page(s):34 - 36
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB)

    This paper is a response to Michael Laviolette and John W. Seaman Jr.'s ( ibid. vol.2, no.1, p.4 (1994)) position paper “The efficacy of fuzzy representations of uncertainty,” which criticizes fuzzy representations of uncertainty, and suggests that Bayesian probability can do better. The commenter argues that the author's make some misleading comments about Bayesian probability, and he... View full abstract»

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  • Fuzzy sets-a convenient fiction for modeling vagueness and possibility

    Publication Year: 1994, Page(s):16 - 21
    Cited by:  Papers (40)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (620 KB)

    This paper is a reply to Laviolette and Seaman's critical discussion of fuzzy set theory. Rather than questioning the interest of the Bayesian approach to uncertainty, some reasons why Bayesian find the idea of a fuzzy set not palatable are laid bare. Some links between fuzzy sets and probability that Laviolette and Seaman seem not to be aware of are pointed out. These links suggest that, contrary... View full abstract»

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  • The thirsty traveler visits Gamont: a rejoinder to “Comments on fuzzy sets-what are they and why?”

    Publication Year: 1994, Page(s):43 - 45
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    Replying to the comments of W.H. Woodall and R.E. Davis (ibid., p.43) on the author's editorial (ibid., p.1), the authors present two illustrations to show that they do not have a poor opinion of probability but that they believe fuzzy membership to be more useful in some cases View full abstract»

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  • Rule-base structure identification in an adaptive-network-based fuzzy inference system

    Publication Year: 1994, Page(s):64 - 73
    Cited by:  Papers (108)  |  Patents (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (936 KB)

    We summarize Jang's architecture of employing an adaptive network and the Kalman filtering algorithm to identify the system parameters. Given a surface structure, the adaptively adjusted inference system performs well on a number of interpolation problems. We generalize Jang's basic model so that it can be used to solve classification problems by employing parameterized t-norms. We also enhance th... View full abstract»

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  • The probability monopoly

    Publication Year: 1994, Page(s):32 - 33
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (184 KB)

    Probability is a very special case of fuzziness. It always faces two limits. First, it works with bivalent sets A. Second, probability measures need small infinities. A probability measure maps the sets in a sigma-algebra to the unit interval [O, 1]. Fuzzy theory challenges the probability monopoly. Probabilists have attacked it with gusto to keep their monopoly status, to have, the only uncertain... View full abstract»

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  • The efficacy of fuzzy representations of uncertainty

    Publication Year: 1994, Page(s):4 - 15
    Cited by:  Papers (43)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1268 KB)

    Advocates of the theory of fuzzy sets as a system for representing uncertainty have based their case on five basic arguments. These are: 1) the reality hypothesis, which holds that imprecision is an inherent property of the world external to an observer; 2) the subjectivity hypothesis, which holds that probability is an exclusively objective measure of uncertainty, and that therefore subjective un... View full abstract»

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  • Interpretative versus prescriptive fuzzy set theory

    Publication Year: 1994, Page(s):22 - 26
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (488 KB)

    Both traditional fuzzy set theory and the theory of subjective probabilities postulate their formulas. The former because it does not accept a probabilistic interpretation of grades of membership, the latter because it makes no connection between subjective probabilities and relative frequencies. The interpretational theory of the TEE model ascribes a well-defined meaning to a membership value &mu... View full abstract»

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  • Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems

    Publication Year: 1994, Page(s):46 - 63
    Cited by:  Papers (168)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1648 KB)

    This paper proposes a reinforcement neural-network-based fuzzy logic control system (RNN-FLCS) for solving various reinforcement learning problems. The proposed RNN-FLCS is constructed by integrating two neural-network-based fuzzy logic controllers (NN-FLC's), each of which is a connectionist model with a feedforward multilayered network developed for the realization of a fuzzy logic controller. O... View full abstract»

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  • A multiregion fuzzy logic controller for nonlinear process control

    Publication Year: 1994, Page(s):74 - 81
    Cited by:  Papers (80)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (556 KB)

    Although a fuzzy logic controller is generally nonlinear, a PI-type fuzzy controller that uses only control error and change in control error is not able to detect the process nonlinearity and make a control move accordingly. In this paper, a multiregion fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided into fuzzy re... View full abstract»

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  • On the alleged superiority of probabilistic representation of uncertainty

    Publication Year: 1994, Page(s):27 - 31
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (536 KB)

    The author identifies some points of his agreement or disagreement with the position taken by Laviolette and Seaman (1994) in their debate paper. In particular, the author argues that some statements regarding the superiority of probabilistic representation of uncertainty, which are made by Laviolette and Seaman in their paper, are untenable View full abstract»

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  • Fuzzy rule-based networks for control

    Publication Year: 1994, Page(s):82 - 88
    Cited by:  Papers (34)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (592 KB)

    The authors present a method for learning fuzzy logic membership functions and rules to approximate a numerical function from a set of examples of the function's independent variables and the resulting function value. This method uses a three-step approach to building a complete function approximation system: first, learning the membership functions and creating a cell-based rule representation; s... 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