Scheduled System Maintenance
On Friday, October 20, IEEE Xplore will be unavailable from 9:00 PM-midnight ET. We apologize for the inconvenience.
Notice: There is currently an issue with the citation download feature. Learn more.

IEEE Transactions on Fuzzy Systems

Issue 5 • Oct 2001

Filter Results

Displaying Results 1 - 8 of 8
  • Dynamical cognitive network - an extension of fuzzy cognitive map

    Publication Year: 2001, Page(s):760 - 770
    Cited by:  Papers (74)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB) | HTML iconHTML

    We present the dynamic cognitive network (DCN) which is an extension of the fuzzy cognitive map (FCM). Each concept in the DCNs can have its own value set, depending on how precisely it needs to be described in the network. This enables the DCN to describe the strength of causes and the degree of effects that are crucial to conducting meaningful inferences. The arcs in the DCN define dynamic, caus... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive

    Publication Year: 2001, Page(s):751 - 759
    Cited by:  Papers (150)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (263 KB) | HTML iconHTML

    A self-constructing fuzzy neural network (SCFNN) which is suitable for practical implementation is proposed. The structure and the parameter learning phases are performed concurrently and online in the SCFNN. The structure learning is based on the partition of input space and the parameter learning is based on the supervised gradient decent method using a delta adaptation law. Several simulation a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Robustness of fuzzy reasoning and δ-equalities of fuzzy sets

    Publication Year: 2001, Page(s):738 - 750
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (373 KB) | HTML iconHTML

    Fuzzy reasoning methods (or approximate reasoning methods) are extensively used in intelligent systems and fuzzy control. In this paper the author discusses how errors in premises affect conclusions in fuzzy reasoning, that is, he discusses the robustness of fuzzy reasoning. After reviewing his previous work (1996), he presents robustness results for various implication operators and inference rul... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling

    Publication Year: 2001, Page(s):727 - 737
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (185 KB) | HTML iconHTML

    Co-evolutionary algorithms have received increased attention in the past few years within the domain of evolutionary computation. In this paper, we combine the search power of co-evolutionary computation with the expressive power of fuzzy systems, and introduce a novel algorithm, called Fuzzy CoCo (fuzzy cooperative coevolution). We demonstrate the efficacy of Fuzzy CoCo by applying it to a hard, ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy service selection in a distributed object-oriented environment

    Publication Year: 2001, Page(s):682 - 698
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (360 KB) | HTML iconHTML

    In network-centered execution environments, client objects can transparently invoke services offered by remote server objects, according to their published interface. The object selection problem requires the evaluation of the fitness of a pool of candidate server objects on the basis of the available information about their functional and nonfunctional features. Network-centered systems usually s... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A systematic study of fuzzy PID controllers-function-based evaluation approach

    Publication Year: 2001, Page(s):699 - 712
    Cited by:  Papers (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (297 KB) | HTML iconHTML

    A function-based evaluation approach is proposed for a systematic study of fuzzy proportional-integral-derivative (PID)-like controllers. This approach is applied for deriving process-independent design guidelines from addressing two issues: simplicity and nonlinearity. To examine the simplicity of fuzzy PID controllers, we conclude that direct-action controllers exhibit simpler design properties ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy random chance-constrained programming

    Publication Year: 2001, Page(s):713 - 720
    Cited by:  Papers (90)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (234 KB) | HTML iconHTML

    By fuzzy random programming, we mean the optimization theory dealing with fuzzy random decision problems. This paper presents a new concept of chance of fuzzy random events, and constructs a general framework of fuzzy random chance-constrained programming. We also design a spectrum of fuzzy random simulations for computing uncertain functions arising in the area of fuzzy random programming. To spe... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy random dependent-chance programming

    Publication Year: 2001, Page(s):721 - 726
    Cited by:  Papers (75)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (149 KB) | HTML iconHTML

    This paper presents the concepts of uncertain environment, event, chance function and principle of uncertainty for fuzzy random decision systems, thus offering a theoretical framework of fuzzy random dependent-chance programming. A hybrid intelligent algorithm is applied to solving fuzzy random dependent-chance programming models. Some numerical examples are also provided to illustrate the effecti... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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
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