By Topic

IEEE Transactions on Fuzzy Systems

Issue 6 • Date Dec. 2011

Filter Results

Displaying Results 1 - 19 of 19
  • Table of contents

    Publication Year: 2011, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (72 KB)
    Freely Available from IEEE
  • IEEE Transactions on Fuzzy Systems publication information

    Publication Year: 2011, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (42 KB)
    Freely Available from IEEE
  • Stability Analysis and Control of Discrete Type-1 and Type-2 TSK Fuzzy Systems: Part I. Stability Analysis

    Publication Year: 2011, Page(s):989 - 1000
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (651 KB) | HTML iconHTML

    This paper introduces sufficient conditions for the exponential stability of type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems. A major advantage of the new conditions is that they do not require the existence of a common Lyapunov function and are, therefore, applicable to systems with unstable consequents. In addition, our results include two classes of type-2 TSK systems with type-1 conse... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Stability Analysis and Control of Discrete Type-1 and Type-2 TSK Fuzzy Systems: Part II. Control Design

    Publication Year: 2011, Page(s):1001 - 1013
    Cited by:  Papers (25)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1051 KB) | HTML iconHTML

    This paper proposes a new control system design methodology for type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems that are based on new stability conditions. The stability conditions are discussed in a companion paper (Part I) and are used in the proofs of our main results. A major advantage of the new methodology is that it does not require a common Lyapunov function and is therefore appli... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Asynchronous Output-Feedback Control of Networked Nonlinear Systems With Multiple Packet Dropouts: T–S Fuzzy Affine Model-Based Approach

    Publication Year: 2011, Page(s):1014 - 1030
    Cited by:  Papers (112)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (729 KB) | HTML iconHTML

    This paper investigates the problem of robust output-feedback control for a class of networked nonlinear systems with multiple packet dropouts. The nonlinear plant is represented by Takagi-Sugeno (T-S) fuzzy affine dynamic models with norm-bounded uncertainties, and stochastic variables that satisfy the Bernoulli random binary distribution are adopted to characterize the data-missing phenomenon. T... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Set Measure Directed Multi-Source Information Fusion

    Publication Year: 2011, Page(s):1031 - 1039
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    Our concern here is with the multi-source fusion problem. Two important aspects of this problem are the representation of information provided by the sources and the formulation of the instructions on how to fuse the information provided, which we refer to as the fusion imperative. We investigate the use of a monotonic set measure as a means of representing the fusion imperative. We look at the fu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On the Temporal Granularity in Fuzzy Cognitive Maps

    Publication Year: 2011, Page(s):1040 - 1057
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1913 KB) | HTML iconHTML

    The theory of fuzzy cognitive maps (FCMs) is a powerful approach to modeling human knowledge that is based on causal reasoning. Taking advantage of fuzzy logic and cognitive map theories, FCMs enable system designers to model complex frameworks by defining degrees of causality between causal objects. They can be used to model and represent the behavior of simple and complex systems by capturing an... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Similarity-Based Inverse Approximate Reasoning

    Publication Year: 2011, Page(s):1058 - 1071
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (598 KB) | HTML iconHTML

    This paper investigates the inverse problem of ap proximate reasoning [to conclude A' from B' and (A→ B)] from different angles. We develop a method to And a solution to the inverse problem by the use of the law of contrapositive symme try. In the process, generalized modus ponens, generalized modus tollens, and their generating functions are studied extensively. An attempt is made here to ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Possibilistic Minmax Regret Sequencing Problems With Fuzzy Parameters

    Publication Year: 2011, Page(s):1072 - 1082
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB) | HTML iconHTML

    In this paper, a class of sequencing problems with uncertain parameters is discussed. The uncertainty is modeled by the usage of fuzzy intervals, whose membership functions are regarded as possibility distributions for the values of unknown parameters. It is shown how to use possibility theory to find robust solutions under fuzzy parameters; this paper presents a general framework, together with a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Memristor Crossbar-Based Hardware Implementation of the IDS Method

    Publication Year: 2011, Page(s):1083 - 1096
    Cited by:  Papers (20)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2727 KB) | HTML iconHTML

    Ink drop spread (IDS) is the engine of an active learning method, which is the methodology of soft computing. IDS, as a pattern-based processing unit, extracts useful information from a system that is subjected to modeling. In spite of its excellent potential to solve problems such as classification and modeling compared with other soft-computing tools, finding its simple and fast hardware impleme... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On the Equivalence Conditions of Fuzzy Inference Methods—Part 1: Basic Concept and Definition

    Publication Year: 2011, Page(s):1097 - 1106
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (973 KB) | HTML iconHTML

    This paper addresses equivalence of fuzzy inference methods. It first presents several well-known fuzzy inference methods: the product-sum-gravity method, the simplified fuzzy inference method, the fuzzy singleton-type inference method, the single input rule modules connected type fuzzy inference method (SIRMs method), and the single input connected fuzzy inference method (SIC method). Second, thr... View full abstract»

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

    Publication Year: 2011, Page(s):1107 - 1126
    Cited by:  Papers (36)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1544 KB) | HTML iconHTML

    Fuzzy interpolative reasoning strengthens the power of fuzzy inference by the enhancement of the robustness of fuzzy systems and the reduction of the systems' complexity. However, after a series of interpolations, it is possible that multiple object values for a common variable are inferred, leading to inconsistency in interpolated results. Such inconsistencies may result from defective interpolat... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Output-Constrained Clustering Approach for the Identification of Fuzzy Systems and Fuzzy Granular Systems

    Publication Year: 2011, Page(s):1127 - 1140
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (722 KB) | HTML iconHTML

    This paper presents an output-constrained clustering approach for fuzzy system identification and fuzzy granular system identification. The approach is unlike most existing clustering algorithms for structure identification of fuzzy systems, where the focus is on input or combined input-output clustering. The output-constrained clustering algorithm divides the output space into several partitions ... View full abstract»

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

    Publication Year: 2011, Page(s):1141 - 1152
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1207 KB) | HTML iconHTML

    Granular computing (GrC) has gained increasing attention in the past decade. Although not uniquely defined, its basic idea is to approximate detailed machine-like information by a coarser presentation on a human-like level. Within granular computing, the mapping of continuous variables into intervals plays an important role. These intervals are often prerequisites for the formulation of linguistic... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Quantized Control Design for Impulsive Fuzzy Networked Systems

    Publication Year: 2011, Page(s):1153 - 1162
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (405 KB) | HTML iconHTML

    In this paper, a continuous-time Takagi-Sugeno (T-S) fuzzy system with impulsive effects that are controlled through network is investigated. Network signal-transmission delays and signal-quantization effects are simultaneously considered. The network is with two time-varying additive delays and limited capacity. First, a quantized output-feedback networked control system (NCS) model is establishe... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Supervised Hierarchical Clustering in Fuzzy Model Identification

    Publication Year: 2011, Page(s):1163 - 1176
    Cited by:  Papers (24)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1244 KB) | HTML iconHTML

    This paper presents a new, supervised, hierarchical clustering algorithm (SUHICLUST) for fuzzy model identification. The presented algorithm solves the problem of global model accuracy, together with the interpretability of local models as valid linearizations of the modeled nonlinear system. The algorithm combines the advantages of supervised, hierarchical algorithms, which are based on heuristic... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 2011 Index IEEE Transactions on Fuzzy Systems Vol. 19

    Publication Year: 2011, Page(s):1177 - 1190
    Request permission for commercial reuse | PDF file iconPDF (150 KB)
    Freely Available from IEEE
  • IEEE Computational Intelligence Society Information

    Publication Year: 2011, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (37 KB)
    Freely Available from IEEE
  • IEEE Transactions on Fuzzy Systems information for authors

    Publication Year: 2011, Page(s): C4
    Request permission for commercial reuse | PDF file iconPDF (29 KB)
    Freely Available from IEEE

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