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# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 25 of 28

Publication Year: 2008, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2008, Page(s): C2
| PDF (38 KB)
• ### Aggregation Using the Fuzzy Weighted Average as Computed by the Karnik–Mendel Algorithms

Publication Year: 2008, Page(s):1 - 12
Cited by:  Papers (69)
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By connecting work from two different problems-the fuzzy weighted average (FWA) and the generalized centroid of an interval type-2 fuzzy set-a new alpha-cut algorithm for solving the FWA problem has been obtained, one that is monotonically and superexponentially convergent. This new algorithm uses the Karnik-Mendel (KM) algorithms to compute the FWA -cut end-points. It appears that the KM -cut alg... View full abstract»

• ### Fuzzy Interpolation and Extrapolation: A Practical Approach

Publication Year: 2008, Page(s):13 - 28
Cited by:  Papers (107)
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Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to systems control, but limited work exists for its applications to tasks like prediction and classification. Almost all fuzzy interpolation techniques in the literature make strong assumptions that there are two closest a... View full abstract»

• ### Applying 2-Tuple Multigranularity Linguistic Variables to Determine the Supply Performance in Dynamic Environment Based on Product-Oriented Strategy

Publication Year: 2008, Page(s):29 - 39
Cited by:  Papers (31)
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Supply performance assessment is not only the core mechanism for supplier management, but also the major task for enterprises in implementing supply chain management. Consequently, supply chain system implementation should rely on the results of supply performance assessments to supervise suppliers. However, supply performance assessment is always concerned with numerous supply behaviors, and the ... View full abstract»

• ### A Combined Adaptive Law for Fuzzy Iterative Learning Control of Nonlinear Systems With Varying Control Tasks

Publication Year: 2008, Page(s):40 - 51
Cited by:  Papers (54)
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To deal with the iterative control of uncertain nonlinear systems with varying control tasks, nonzero initial resetting state errors, and nonrepeatable mismatched input disturbance, a new adaptive fuzzy iterative learning controller is proposed in this paper. The main structure of this learning controller is constructed by a fuzzy learning component and a robust learning component. For the fuzzy l... View full abstract»

• ### Analytical Structures for Fuzzy PID Controllers?

Publication Year: 2008, Page(s):52 - 60
Cited by:  Papers (16)
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In this paper, analytical structures for fuzzy proportional-integral-derivative (PID) controllers are derived by using triangular membership functions for inputs, singletons, or triangular membership functions for output, minimum triangular norm, maximum or drastic sum triangular conorm, Mamdani minimum, drastic or Larsen product inference, nonlinear control rules, and center-of-sum defuzzificatio... View full abstract»

• ### Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps

Publication Year: 2008, Page(s):61 - 72
Cited by:  Papers (63)
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In this paper, we introduce a novel approach to time-series prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along with a recently proposed learning method that takes advantage of real-coded genetic algorithms. FCMs are used for modeling and qualitative analysis of dynamic systems. Within the framework of FCMs, the systems are described by mea... View full abstract»

• ### An Efficient Procedure for Solving a Fuzzy Relational Equation With Max–Archimedean t-Norm Composition

Publication Year: 2008, Page(s):73 - 84
Cited by:  Papers (24)
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In the literature, a necessary condition for minimal solutions of a fuzzy relational equation with max-product composition shows that each of its components is either zero or the corresponding component's value of the greatest solution. In this paper, we first extend this necessary condition to the situation with max-Archimedean triangular-norm (t-norm) composition. Based on this necessary conditi... View full abstract»

• ### Hybrid Fuzzy Model-Based Control of Nonholonomic Systems: A Unified Viewpoint

Publication Year: 2008, Page(s):85 - 96
Cited by:  Papers (16)
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This paper proposes a unified hybrid fuzzy model-based control scheme for uncertain nonholonomic systems. Compared with typical hybrid fuzzy control, the stability analysis is performed based on a new concept of constructing a semicommon Lyapunov function and a new definition called as exponential-like model following. This advancement provides a strict stability analysis but results in relaxed ga... View full abstract»

• ### Fuzzy Decentralized Sliding-Mode Control of a Car-Like Mobile Robot in Distributed Sensor-Network Spaces

Publication Year: 2008, Page(s):97 - 109
Cited by:  Papers (19)
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In this paper, the trajectory tracking and (dynamic) obstacle avoidance of a car-like mobile robot (CLMR) within distributed sensor-network spaces via fuzzy decentralized sliding-mode control (FDSMC) is developed. To implement trajectory tracking and (dynamic) obstacle avoidance, two distributed charge-coupled device (CCD) cameras are set up to realize the dynamic position of the CLMR and the obst... View full abstract»

• ### An Intelligent System for Machinery Condition Monitoring

Publication Year: 2008, Page(s):110 - 122
Cited by:  Papers (29)  |  Patents (2)
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A reliable monitoring system is critically needed in a wide range of industries to detect the occurrence of a fault to prevent machinery performance degradation, malfunction, and sudden failure. In this paper, a new intelligent system, extended neurofuzzy (ENF) scheme, is proposed for real-time machinery condition monitoring. The monitoring reliability is improved by integrating the predicted mach... View full abstract»

• ### Entropy of Credibility Distributions for Fuzzy Variables

Publication Year: 2008, Page(s):123 - 129
Cited by:  Papers (50)
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This paper deals with the degree of uncertainty associated with fuzzy variables. Based on the notion of credibility measure, a definition of entropy is formulated from an information theoretical view and its properties are investigated. Finally, some comments are given on the construction of alternative definitions of entropy and axiomatic characterization. View full abstract»

• ### On the Law of Importation $(x wedge y) longrightarrow z equiv (x longrightarrow (y longrightarrow z))$ in Fuzzy Logic

Publication Year: 2008, Page(s):130 - 144
Cited by:  Papers (42)
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The law of importation, given by the equivalence (x Lambda y) rarr z equiv (xrarr (y rarr z)), is a tautology in classical logic. In A-implications defined by Turksen et aL, the above equivalence is taken as an axiom. In this paper, we investigate the general form of the law of importation J(T(x, y), z) = J(x, J(y, z)), where T is a t-norm and J is a fuzzy implication, for the three main classes o... View full abstract»

• ### A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering

Publication Year: 2008, Page(s):145 - 161
Cited by:  Papers (15)
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This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzzy set in the cluster prototypes. The merger method is applied to fuzzy rule base simplification by automatically replacing the fuzzy sets corresponding to a given cluster with that pertaining to cluster prototype. The feasibility ... View full abstract»

• ### On the Stability of Takagi–Sugeno Fuzzy Systems With Time-Varying Uncertainties

Publication Year: 2008, Page(s):162 - 170
Cited by:  Papers (10)
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This paper studies the problems of stability analysis of Takagi-Sugeno free fuzzy systems with time-varying uncertainties. In our prior study, we represented the time-varying uncertainty incurred in characteristic interval matrices in terms of the stability of Takagi-Sugeno free fuzzy systems with consequent parameter uncertainties. Based on Mayer's convergent theorem for powers of single interval... View full abstract»

• ### A Markov Game-Adaptive Fuzzy Controller for Robot Manipulators

Publication Year: 2008, Page(s):171 - 186
Cited by:  Papers (20)
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This paper develops an adaptive fuzzy controller for robot manipulators using a Markov game formulation. The Markov game framework offers a promising platform for robust control of robot manipulators in the presence of bounded external disturbances and unknown parameter variations. We propose fuzzy Markov games as an adaptation of fuzzy Q-learning (FQL) to a continuous-action variation of Markov g... View full abstract»

• ### PI Adaptive Fuzzy Control With Large and Fast Disturbance Rejection for a Class of Uncertain Nonlinear Systems

Publication Year: 2008, Page(s):187 - 197
Cited by:  Papers (52)
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Design of controllers for uncertain systems is inherently paradoxical. Adaptive control approaches claim to adapt system parameters against uncertainties, but only if these uncertainties change slowly enough. Alternatively, robust control methodologies claim to ensure system stability against uncertainties, but only if these uncertainties remain within known bounds. This is while, in reality, dist... View full abstract»

• ### A Type-2 Fuzzy Approach to Linguistic Summarization of Data

Publication Year: 2008, Page(s):198 - 212
Cited by:  Papers (34)
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This paper introduces an application of type-2 fuzzy sets in data linguistic summarization. The original approach by Yager (1982) based on representing natural language statements via type-1, i.e., the Zadeh fuzzy sets, is generalized with type-2 fuzzy sets applied as models of linguistically expressed quantities and/or properties of objects. Type-2 sets extend the known summarization procedures b... View full abstract»

• ### Parameter Identification of Recurrent Fuzzy Systems With Fuzzy Finite-State Automata Representation

Publication Year: 2008, Page(s):213 - 224
Cited by:  Papers (15)
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This paper presents the identification of nonlinear dynamical systems by recurrent fuzzy system (RFS) models. Two types of RFS models are discussed: the Takagi-Sugeno-Kang (TSK) type and the linguistic or Mamdani type. Both models are equivalent and the latter model may be represented by a fuzzy finite-state automaton (FFA). An identification procedure is proposed based on a standard general purpo... View full abstract»

• ### Minimum Classification Error Training for Choquet Integrals With Applications to Landmine Detection

Publication Year: 2008, Page(s):225 - 238
Cited by:  Papers (31)
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A novel algorithm for discriminative training of Choquet-integral-based fusion operators is described. Fusion is performed by Choquet integration of classifier outputs with respect to fuzzy measures. The fusion operators are determined by the parameters of fuzzy measures. These parameters are found by minimizing a minimum classification error (MCE) objective function. The minimization is performed... View full abstract»

• ### A Fuzzy Probabilistic Approach for Determining Safety Integrity Level

Publication Year: 2008, Page(s):239 - 248
Cited by:  Papers (35)
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The process industry has always been faced with the difficult task of determining the required integrity of safeguarding systems such as safety instrumented systems (SISs). The ANSI/ISA S84.01-1996 and IEC 61508 safety standards provide guidelines for the design, installation, operation, maintenance, and test of SIS. However, in the field, there is a considerable lack of understanding of how to ap... View full abstract»

• ### Cluster-Based Evaluation in Fuzzy-Genetic Data Mining

Publication Year: 2008, Page(s):249 - 262
Cited by:  Papers (22)
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Data mining is commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transactions in real-world applications, however, usually consist of quantitative values. In the past, we proposed a fuzzy-genetic data-mining algorithm for extracting both association rules and membership functions from quantitative transacti... View full abstract»

• ### Iterative Fuzzy Clustering Algorithm With Supervision to Construct Probabilistic Fuzzy Rule Base From Numerical Data

Publication Year: 2008, Page(s):263 - 277
Cited by:  Papers (21)  |  Patents (1)
| | PDF (1538 KB) | HTML

To deal with data patterns with linguistic ambiguity and with probabilistic uncertainty in a single framework, we construct an interpretable probabilistic fuzzy rule-based system that requires less human intervention and less prior knowledge than other state of the art methods. Specifically, we present a new iterative fuzzy clustering algorithm that incorporates a supervisory scheme into an unsupe... View full abstract»

• ### World Congress on Computational Intelligence - WCCI 2008

Publication Year: 2008, Page(s): 278
| PDF (627 KB)

## 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