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# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 19 of 19

Publication Year: 2010, Page(s): C1
| PDF (36 KB)
• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2010, Page(s): C2
| PDF (42 KB)
• ### Editorial - A message from Nikhil R. Pal, Editor-in-chief

Publication Year: 2010, Page(s):1025 - 1026
| PDF (164 KB)
• ### Observer-Based Robust $H_{infty }$ Reliable Control for Uncertain T–S Fuzzy Systems With State Time Delay

Publication Year: 2010, Page(s):1027 - 1040
Cited by:  Papers (35)
| | PDF (784 KB) | HTML

In this paper, a method of robust H∞ reliable control for uncertain Takagi-Sugeno (T-S) fuzzy systems with unavailable states and time-varying delay is developed. In terms of linear-matrix inequalities (LMIs), we derive sufficient conditions for the existence of the fuzzy observer and the reliable fuzzy controller. The single-step LMI conditions, depending on the size of the dela... View full abstract»

• ### A Fuzzy Approach for Robust Reference-Tracking-Control Design of Nonlinear Distributed Parameter Time-Delayed Systems and Its Application

Publication Year: 2010, Page(s):1041 - 1057
Cited by:  Papers (44)
| | PDF (416 KB) | HTML

This paper addresses the robust reference-tracking-control problem for nonlinear distributed parameter systems (NDPSs) with time delays, external disturbances, and measurement noises. The NDPS is measured at several sensor locations for output-feedback tracking control. A fuzzy-spatial state-space model derived via finite-difference approach is introduced to represent the nonlinear distributed par... View full abstract»

• ### Arithmetic Fuzzy Models

Publication Year: 2010, Page(s):1058 - 1069
Cited by:  Papers (15)
| | PDF (493 KB) | HTML

It is well known that a fuzzy rule base can be interpreted in different ways. From a logical point of view, the conjunctive interpretation is preferred, while from a practical point of view, the disjunctive interpretation has been dominantly present. Each of these interpretations results in a specific fuzzy relation that models the fuzzy rule base. Basic interpolation requirements naturally sugges... View full abstract»

• ### An Adaptive Generalized Predictive Control Method for Nonlinear Systems Based on ANFIS and Multiple Models

Publication Year: 2010, Page(s):1070 - 1082
Cited by:  Papers (31)
| | PDF (532 KB) | HTML

In this paper, an adaptive generalized predictive control method using adaptive-network-based fuzzy-inference system (ANFIS) and multiple models is proposed for a class of uncertain discrete-time nonlinear systems with unstable zero-dynamics. The proposed controller consists of a linear and robust generalized predictive adaptive controller, a nonlinear generalized predictive adaptive controller ba... View full abstract»

• ### Knowledge Acquisition in Fuzzy-Rule-Based Systems With Particle-Swarm Optimization

Publication Year: 2010, Page(s):1083 - 1097
Cited by:  Papers (34)
| | PDF (1077 KB) | HTML

Knowledge acquisition is a long-standing problem in fuzzy-rule-based systems. In spite of the existence of several approaches, much effort is still required to increase the efficiency of the learning process. This study introduces a new method for the fuzzy-rule evolution that forms an expert system knowledge: the knowledge acquisition with a swarm-intelligence approach (KASIA). Specifically, this... View full abstract»

• ### Cross-Lingual Document Representation and Semantic Similarity Measure: A Fuzzy Set and Rough Set Based Approach

Publication Year: 2010, Page(s):1098 - 1111
Cited by:  Papers (18)
| | PDF (429 KB) | HTML

As cross-lingual information retrieval is attracting increasing attention, tools that measure cross-lingual semantic similarity between documents are becoming desirable. In this paper, two aspects of cross-lingual semantic document similarity measures are investigated: One is document representation, and the other is the formulation of similarity measures. Fuzzy set and rough set theories are appl... View full abstract»

• ### Mathematical-Programming Approach to Matrix Games With Payoffs Represented by Atanassov's Interval-Valued Intuitionistic Fuzzy Sets

Publication Year: 2010, Page(s):1112 - 1128
Cited by:  Papers (57)
| | PDF (310 KB) | HTML

The purpose of this paper is to develop the concept and mathematical-programming methodology of matrix games with payoffs represented by Atanassov's interval-valued intuitionistic fuzzy (IVIF) sets. In this methodology, the concept of solutions of matrix games with payoffs represented by Atanassov's IVIF sets is defined, and some important properties are studied using multiobjective-programming an... View full abstract»

• ### A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm

Publication Year: 2010, Page(s):1129 - 1143
Cited by:  Papers (71)
| | PDF (1189 KB) | HTML

A novel growing-and-pruning (GP) approach is proposed, which optimizes the structure of a fuzzy neural network (FNN). This GP-FNN is based on radial basis function neurons, which have center and width vectors. The structure-learning phase and the parameter-training phase are performed concurrently. The structure-learning approach relies on the sensitivity analysis of the output. A set of fuzzy rul... View full abstract»

• ### Robust Optimal Reference-Tracking Design Method for Stochastic Synthetic Biology Systems: T–S Fuzzy Approach

Publication Year: 2010, Page(s):1144 - 1159
Cited by:  Papers (40)
| | PDF (444 KB) | HTML

At present, the development in the nascent field of synthetic gene networks is still difficult. Most newly created gene networks are nonfunctioning due to intrinsic parameter fluctuations, uncertain interactions with unknown molecules and external disturbances of intra and extracellular environments on the host cell. How to design a completely new gene network, that is to track some desired behavi... View full abstract»

• ### Relational Duals of Cluster-Validity Functions for the $c$ -Means Family

Publication Year: 2010, Page(s):1160 - 1170
Cited by:  Papers (2)
| | PDF (1714 KB) | HTML

Clustering aims to identify groups of similar objects. To evaluate the results of cluster algorithms, an investigator uses cluster-validity indices. While the theory of cluster validity is well established for vector object data, little effort has been made to extend it to relationship-based data. As such, this paper proposes a theory of reformulation for object-data validity indices so that they ... View full abstract»

• ### Structurally Stable Output Regulation Problem With Sampled-Output Measurements Using Fuzzy Immersions

Publication Year: 2010, Page(s):1170 - 1177
Cited by:  Papers (2)
| | PDF (176 KB) | HTML

In this paper, a fuzzy nonlinear ripple-free regulator is proposed to solve the sample-data structurally stable regulation problem for the case of nonlinear or generalized immersion. This regulator guarantees asymptotic tracking of time-varying references and rejection of disturbances while maintaining the closed-loop stability. Such a regulator is based on a continuous fuzzy error feedback contro... View full abstract»

Publication Year: 2010, Page(s):1178 - 1179
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Publication Year: 2010, Page(s): 1180
| PDF (320 KB)
• ### 2010 Index IEEE Transactions on Fuzzy Systems Vol. 18

Publication Year: 2010, Page(s):1181 - 1194
| PDF (155 KB)
• ### IEEE Computational Intelligence Society Information

Publication Year: 2010, Page(s): C3
| PDF (37 KB)
• ### IEEE Transactions on Fuzzy Systems Information for authors

Publication Year: 2010, Page(s): C4
| PDF (29 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