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# IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 25 of 27

Publication Year: 2010, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2010, Page(s): C2
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• ### A ${bm lambda}$-Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization

Publication Year: 2010, Page(s):1 - 13
Cited by:  Papers (24)
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Bilevel-programming techniques are developed to handle decentralized problems with two-level decision makers, which are leaders and followers, who may have more than one objective to achieve. This paper proposes a λ-cut and goal-programming-based algorithm to solve fuzzy-linear multiple-objective bilevel (FLMOB) decision problems. First, based on the definition of a distance measure betwee... View full abstract»

• ### Hierarchical Cluster-Based Multispecies Particle-Swarm Optimization for Fuzzy-System Optimization

Publication Year: 2010, Page(s):14 - 26
Cited by:  Papers (67)
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This paper proposes a hierarchical cluster-based multispecies particle-swarm optimization (HCMSPSO) algorithm for fuzzy-system optimization. The objective of this paper is to learn Takagi-Sugeno-Kang (TSK) type fuzzy rules with high accuracy. In the HCMSPSO-designed fuzzy system (FS), each rule defines its own fuzzy sets, which implies that the number of fuzzy sets for each input variable is equal... View full abstract»

• ### A Novel Hierarchical-Clustering-Combination Scheme Based on Fuzzy-Similarity Relations

Publication Year: 2010, Page(s):27 - 39
Cited by:  Papers (30)
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Clustering-combination methods have received considerable attentions in recent years, and many ensemble-based clustering methods have been introduced. However, clustering-combination techniques have been limited to ??flat?? clustering combination, and the combination of hierarchical clusterings has yet to be addressed. In this paper, we address and formalize the concept of hierarchical-clustering ... View full abstract»

Publication Year: 2010, Page(s):40 - 56
Cited by:  Papers (5)
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We present a novel approach for the development of fuzzy hidden Markov models (FHMMs) by exploiting both additive and nonadditive properties of input fuzzy sets in the fuzzy rules of generalized fuzzy model (GFM). This development utilizes 1) Gaussian mixture model (GMM) to manipulate the mixture parameters for the input fuzzy sets and 2) GFM rules for the inclusion of states in the consequent par... View full abstract»

• ### Norms Induced from OWA Operators

Publication Year: 2010, Page(s):57 - 66
Cited by:  Papers (49)
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We describe the basic properties of a norm and introduce the Minkowski norm. We then show that the OWA aggregation operator can be used to provide norms. To enable this we require that the OWA weights satisfy the buoyancy property, w j ?? w k for j < k. We consider a number of different classes of OWA norms. It is shown that the functional gener... View full abstract»

• ### Fuzzy PCA-Guided Robust $k$-Means Clustering

Publication Year: 2010, Page(s):67 - 79
Cited by:  Papers (38)
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This paper proposes a new approach to robust clustering, in which a robust k-means partition is derived by using a noise-rejection mechanism based on the noise-clustering approach. The responsibility weight of each sample for the k-means process is estimated by considering the noise degree of the sample, and cluster indicators are calculated in a fuzzy principal-component-analysis (P... View full abstract»

• ### Adaptive Fuzzy Control of Nonlinear Systems in Pure Feedback Form Based on Input-to-State Stability

Publication Year: 2010, Page(s):80 - 93
Cited by:  Papers (80)
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Using mean value theorem and backstepping technique, a robust adaptive fuzzy control scheme is proposed for a class of pure-feedback nonlinear systems with unknown dead zone and disturbances via input-to-state stability. Takagi-Sugeno (T--S) type fuzzy logic systems are used to approximate the uncertain nonlinear functions and fewer learning parameters need to be adjusted online. Based on small ga... View full abstract»

• ### Power-Geometric Operators and Their Use in Group Decision Making

Publication Year: 2010, Page(s):94 - 105
Cited by:  Papers (85)
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The power-average (PA) operator and the power-ordered-weighted-average (POWA) operator are the two nonlinear weighted-average aggregation tools whose weighting vectors depend on the input arguments. In this paper, we develop a power-geometric (PG) operator and its weighted form, which are on the basis of the PA operator and the geometric mean, and develop a power-ordered-geometric (POG) operator a... View full abstract»

• ### OWA Operators in Regression Problems

Publication Year: 2010, Page(s):106 - 113
Cited by:  Papers (28)
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We consider an application of fuzzy logic connectives to statistical regression. We replace the standard least squares, least absolute deviation, and maximum likelihood criteria with an ordered weighted averaging (OWA) function of the residuals. Depending on the choice of the weights, we obtain the standard regression problems, high-breakdown robust methods (least median, least trimmed squares, an... View full abstract»

• ### Transformation of Cognitive Maps

Publication Year: 2010, Page(s):114 - 124
Cited by:  Papers (22)
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Cognitive maps (CMs), fuzzy cognitive maps (FCMs), and dynamical cognitive networks (DCNs) are related tools for modeling the cognition of human beings and facilitating machine inferences accordingly. FCMs extend CMs, and DCNs extend FCMs. Domain experts often face the challenge that CMs/FCMs are not sufficiently capable in many applications and that DCNs are too complex. This paper presents a sim... View full abstract»

• ### Quadratic-Stability Analysis of Fuzzy-Model-Based Control Systems Using Staircase Membership Functions

Publication Year: 2010, Page(s):125 - 137
Cited by:  Papers (79)
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This paper presents the stability analysis of fuzzy-model-based (FMB) control systems. Staircase membership functions are introduced to facilitate the stability analysis. Through the staircase membership functions approximating those of the fuzzy model and fuzzy controller, the information of the membership functions can be brought into the stability analysis. Based on the Lyapunov-stability theor... View full abstract»

• ### Designing Fuzzy-Rule-Based Systems Using Continuous Ant-Colony Optimization

Publication Year: 2010, Page(s):138 - 149
Cited by:  Papers (57)
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This paper proposes the design of fuzzy-rule-based systems using continuous ant-colony optimization (RCACO). RCACO determines the number of fuzzy rules and optimizes all the free parameters in each fuzzy rule. It uses an online-rule-generation method to determine the number of rules and identify suitable initial parameters for the rules and then optimizes all the free parameters using continuous a... View full abstract»

• ### A Novel Robust Adaptive-Fuzzy-Tracking Control for a Class of NonlinearMulti-Input/Multi-Output Systems

Publication Year: 2010, Page(s):150 - 160
Cited by:  Papers (169)
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Robust adaptive-fuzzy-tracking control of a class of uncertain multi-input/multi-output nonlinear systems with coupled interconnections is considered in this paper. Takagi-Sugeno (T-S) fuzzy systems are used to approximate the unknown system functions. A novel adaptive-control scheme is developed on the basis of the so-called ??dynamic-surface control?? and ??minimal-learning parameters?? techniqu... View full abstract»

• ### A Dynamically Constrained Multiobjective Genetic Fuzzy System for Regression Problems

Publication Year: 2010, Page(s):161 - 177
Cited by:  Papers (75)
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In this paper, a multiobjective genetic fuzzy system (GFS) to learn the granularities of fuzzy partitions, tuning the membership functions (MFs), and learning the fuzzy rules is presented. It uses dynamic constraints, which enable three-parameter MF tuning to improve the accuracy while guaranteeing the transparency of fuzzy partitions. The fuzzy models (FMs) are initialized by a method that combin... View full abstract»

• ### A Universal Integral as Common Frame for Choquet and Sugeno Integral

Publication Year: 2010, Page(s):178 - 187
Cited by:  Papers (106)
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The Choquet and the Sugeno integral provide a useful tool in many problems in engineering and social choice where the aggregation of data is required. However, their applicability is restricted because of the special operations used in the construction of these integrals. Therefore, we provide a concept of integrals generalizing both the Choquet and the Sugeno case. For functions with values in th... View full abstract»

• ### Stabilization of Takagi–Sugeno Model via Nonparallel Distributed Compensation Law

Publication Year: 2010, Page(s):188 - 194
Cited by:  Papers (47)
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This paper addresses the stabilization of nonlinear systems, which is represented by a Takagi-Sugeno (T-S) model. Based on the extended nonquadratic Lyapunov function and the nonparallel distributed compensation law, three new results are obtained by using appropriate slack matrices, collection matrices, and the higher dimensional collection matrix. The first two results are less conservative, and... View full abstract»

• ### Dynamic Output Feedback-Fault Tolerant Controller Design for Takagi–Sugeno Fuzzy Systems With Actuator Faults

Publication Year: 2010, Page(s):194 - 201
Cited by:  Papers (75)
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This paper addresses the problem of robust fault estimation and fault tolerant control (FTC) for Takagi-Sugeno (T-S) fuzzy systems. A fuzzy-augmented fault estimation observer (AFEO) design is proposed to achieve fault estimation of T-S models with actuator faults. Furthermore, based on the information of online fault estimation, an observer-based dynamic output feedback-fault tolerant controller ... View full abstract»

• ### $H_infty$-Filter Design for a Class of Networked Control Systems Via T–S Fuzzy-Model Approach

Publication Year: 2010, Page(s):201 - 208
Cited by:  Papers (106)
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This paper is concerned with H -design for a class of networked control systems (NCSs) with multiple state-delays via the Takagi-Sugeno (T-S) fuzzy model. The transfer delays and packet loss that are induced by the limited bandwidth of communication networks are considered. The focus of this paper is on the analysis and design of a full-order H ... View full abstract»

• ### Fuzzy Filtering for Physiological Signal Analysis

Publication Year: 2010, Page(s):208 - 216
Cited by:  Papers (13)
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This study suggests the use of fuzzy-filtering algorithms to deal with the uncertainties associated to the analysis of physiological signals. The signal characteristics, for a given situation or physiological state, vary for an individual over time and also vary among the individuals with the same state. These random variations are due to the several factors related to the physiological behavior o... View full abstract»

• ### A Family of Fuzzy Learning Algorithms for Robust Principal Component Analysis Neural Networks

Publication Year: 2010, Page(s):217 - 226
Cited by:  Papers (22)
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In this paper, we analyze Xu and Yuille's robust principal component analysis (RPCA) learning algorithms by means of the distance measurement in space. Based on the analysis, a family of fuzzy RPCA learning algorithms is proposed, which is robust against outliers. These algorithms can explicitly be understood from the viewpoint of fuzzy set theory, though Xu and Yuille's algorithms were proposed b... View full abstract»

• ### Comments on "Controller Synthesis of Fuzzy-Dynamic Systems Based on Piecewise Lyapunov Functions

Publication Year: 2010, Page(s):227 - 228
Cited by:  Papers (1)
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This comment tries to describe a theoretical mistake made in the aforementioned paper [G. Feng, IEEE Trans. Fuzzy Syst., vol. 11, no. 5, pp. 605-612, Oct. 2003] to formulate the inverse of matrices used to construct the piecewise-quadratic Lyapunov functions. Derivation of these inverse matrices is the most critical step toward transforming the design constraints into linear matrix inequali... View full abstract»

• ### Comments on "$alpha$ -Plane Representation for Type-2 Fuzzy Sets: Theory and Applications

Publication Year: 2010, Page(s):229 - 230
Cited by:  Papers (32)
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This comment points out a misnomer and two errors in a previous paper by the author ( IEEE Trans. Fuzzy Syst., vol. 17, no. 5, pp. 1189-1207, Oct. 2009), and because one of the errors relates the term "α-plane" to the term "z-slice," it also connects these two terms more correctly. View full abstract»

Publication Year: 2010, Page(s):231 - 232
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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
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