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IEEE Transactions on Fuzzy Systems

Issue 3 • Date Aug. 1996

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Displaying Results 1 - 15 of 15
  • Comments on "A possibilistic approach to clustering"

    Publication Year: 1996, Page(s):393 - 396
    Cited by:  Papers (117)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (857 KB)

    In this comment, we report a difficulty with the-application of the possibilistic approach to fuzzy clustering (PCM) proposed by Keller and Krishnapuram (1993). In applying this algorithm we found that it has the undesirable tendency to produce coincidental clusters. Results illustrating this tendency are reported and a possible explanation for the PCM behavior is suggested. View full abstract»

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  • Continuous fuzzy conjunctions and disjunctions

    Publication Year: 1996, Page(s):295 - 314
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1612 KB)

    Several functions have been used to implement conjunction and disjunction in fuzzy logic and to implement intersection and union in fuzzy set theory. Usually t-norms and t-conorms are used, but for some applications these may not be the best function classes. In this paper, I propose specific requirements which a function should satisfy if it is to be used to implement conjunction (or intersection... View full abstract»

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  • A reasoning algorithm for high-level fuzzy Petri nets

    Publication Year: 1996, Page(s):282 - 294
    Cited by:  Papers (68)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1052 KB)

    We introduce an automated procedure for extracting information from knowledge bases that contain fuzzy production rules. The knowledge bases considered here are modeled using the high-level fuzzy Petri nets proposed by the authors in the past. Extensions to the high-level fuzzy Petri net model are given to include the representation of partial sources of information. The case of rules with more th... View full abstract»

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  • A parametric model for fusing heterogeneous fuzzy data

    Publication Year: 1996, Page(s):270 - 281
    Cited by:  Papers (71)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1080 KB)

    Presented is a model that integrates three data types (numbers, intervals, and linguistic assessments). Data of these three types come from a variety of sensors. One objective of sensor-fusion models is to provide a common framework for data integration, processing, and interpretation. That is what our model does. We use a small set of artificial data to illustrate how problems as diverse as featu... View full abstract»

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  • Handling uncertainty with possibility theory and fuzzy sets in a satellite fault diagnosis application

    Publication Year: 1996, Page(s):251 - 269
    Cited by:  Papers (42)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1680 KB)

    The fault mode effects and criticality analyses (FMECA) describe the impact of identified faults. They form an important category of knowledge gathered during the design phase of a satellite and are used also for diagnosis activities. This paper proposes their extension, allowing a finer representation of the available knowledge, at approximately the same cost, through the introduction of an appro... View full abstract»

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  • Adaptive fuzzy rule-based classification systems

    Publication Year: 1996, Page(s):238 - 250
    Cited by:  Papers (154)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1212 KB)

    This paper proposes an adaptive method to construct a fuzzy rule-based classification system with high performance for pattern classification problems. The proposed method consists of two procedures: an error correction-based learning procedure, and an additional learning procedure. The error correction-based learning procedure adjusts the grade of certainty of each fuzzy rule by its classificatio... View full abstract»

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  • Stable adaptive control using fuzzy systems and neural networks

    Publication Year: 1996, Page(s):339 - 359
    Cited by:  Papers (401)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1752 KB)

    Stable direct and indirect adaptive controllers are presented, which use Takagi-Sugeno fuzzy systems, conventional fuzzy systems, or a class of neural networks to provide asymptotic tracking of a reference signal for a class of continuous-time nonlinear plants with poorly understood dynamics. The indirect adaptive scheme allows for the inclusion of a priori knowledge about the plant dynamics in te... View full abstract»

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  • Designing fuzzy logic controllers using a multiresolutional search paradigm

    Publication Year: 1996, Page(s):213 - 226
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1128 KB)

    A multiresolutional search paradigm is employed to design optimal fuzzy logic controllers in a variable structure simulation environment. The initial search space is evaluated with a coarse resolution and some of the subspaces are selected as candidate regions for global optimum. New optimization processes are then created to investigate the candidate search spaces in detail, a process which conti... View full abstract»

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  • The possibilistic C-means algorithm: insights and recommendations

    Publication Year: 1996, Page(s):385 - 393
    Cited by:  Papers (262)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1476 KB)

    Recently, the possibilistic C-means algorithm (PCM) was proposed to address the drawbacks associated with the constrained memberships used in algorithms such as the fuzzy C-means (FCM). In this issue, Barni et al. (1996) report a difficulty they faced while applying the PCM, and note that it exhibits an undesirable tendency to converge to coincidental clusters. The purpose of this paper is not jus... View full abstract»

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  • A multirule-base controller using the robust property of a fuzzy controller and its design method

    Publication Year: 1996, Page(s):315 - 327
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (864 KB)

    This paper suggests a new fuzzy adaptive controller, which is able to solve the problems of classical adaptive controllers and conventional fuzzy adaptive controllers. It explains the architecture of a fuzzy adaptive controller using the robust property of a fuzzy controller. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination o... View full abstract»

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  • Neuro-fuzzy hybrid control system of tank level in petroleum plant

    Publication Year: 1996, Page(s):360 - 368
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (712 KB)

    Shown in this paper is a practical method of control using neural network and fuzzy control techniques, where a neural network estimates the target of fuzzy control. The neural network is used to estimate the transient state of a plant which has nonlinear processes such as refrigerating and filtering. The suitable control target pattern for fuzzy control is selected according to this estimation. T... View full abstract»

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  • A unifying approach to defuzzification and comparison of the outputs of fuzzy controllers

    Publication Year: 1996, Page(s):227 - 237
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (892 KB)

    This paper addresses the defuzzification of the fuzzy set outputs of fuzzy controllers from a comparison or ranking perspective. This is done by emphasizing the fuzzy controller as a decision-making system. Based on the extensive study and justification of the fuzzy-set comparison criteria that were developed and published elsewhere by the author, a ranking and, thus, a defuzzification index is in... View full abstract»

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  • Hardware design of asynchronous fuzzy controllers

    Publication Year: 1996, Page(s):328 - 338
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (868 KB)

    This paper presents a hardware approach to the design of fuzzy controllers which, by exploiting some peculiar characteristics of fuzzy logic computation, allows one to save power consumption and increase computing speed. We show that the computation involved in a fuzzy controller has some statistic features that can be exploited by asynchronous computation. This paper presents a quantitative study... View full abstract»

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  • Evaluation of min/max instructions for fuzzy information processing

    Publication Year: 1996, Page(s):369 - 374
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    We report the results of dynamic measurements which evaluate the effectiveness of an application specific microprocessor for fuzzy control and fuzzy information processing. We propose to specialize an architecture of microprocessor for fuzzy theoretic operations using quantitative techniques developed by designers of reduced instruction set computer (RISC). In particular, an introduction of specia... View full abstract»

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  • On fuzzy associative memory with multiple-rule storage capacity

    Publication Year: 1996, Page(s):375 - 384
    Cited by:  Papers (38)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB)

    Kosko's fuzzy associative memory (FAM) is the very first neural network model for implementing fuzzy systems. Despite its success in various applications, the model suffers from very low storage capacity, i.e., one rule per FAM matrix. A lot of hardware and computations are usually required to implement the model and, hence, it is limited to applications with small fuzzy rule-base. In this paper, ... 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