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# IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 25 of 29

Publication Year: 2008, Page(s):C1 - 281
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2008, Page(s): C2
| PDF (41 KB)
• ### Foreword to the Special Section on Granular Computing

Publication Year: 2008, Page(s):282 - 284
Cited by:  Papers (16)
| PDF (50 KB) | HTML
• ### Extended DNF Expression and Variable Granularity in Information Tables

Publication Year: 2008, Page(s):285 - 298
Cited by:  Papers (1)
| | PDF (596 KB) | HTML

An information table or a training/designing sample set is all that can be obtained to infer the underlying generation mechanism (distribution) of tuples or samples. However, how an information table is available in representation, in treatment, and in interpretation, can still be discussed. In this paper, these matters are discussed on the basis of ldquogranularity.rdquo First, an explanation is ... View full abstract»

• ### Evidence Resolution Using Concept Hierarchies

Publication Year: 2008, Page(s):299 - 308
Cited by:  Papers (9)
| | PDF (372 KB) | HTML

This paper describes a conceptual and theoretical framework for the resolution of seemingly contradictory evidence for decision-making. Basic to this approach is the use of granulation provided by the categories obtained by ascending concept hierarchies. This process will be driven by the use of a criterion that represents the utility of granular categories to the user's decision making. The defin... View full abstract»

• ### Granular Neural Networks With Evolutionary Interval Learning

Publication Year: 2008, Page(s):309 - 319
Cited by:  Papers (16)
| | PDF (580 KB) | HTML

To deal with different membership functions of the same linguistic term, a new interval reasoning method using new granular sets is proposed based on Yin Yang methodology. To make interval-valued granular reasoning efficiently and optimize interval membership functions based on training data effectively, a granular neural network (GNN) with a new high-speed evolutionary interval learning is design... View full abstract»

• ### Toward a Theory of Granular Computing for Human-Centered Information Processing

Publication Year: 2008, Page(s):320 - 330
Cited by:  Papers (92)
| | PDF (724 KB) | HTML

Human-centered information processing has been pioneered by Zadeh through his introduction of the concept of fuzzy sets in the mid 1960s. The insights that were afforded through this formalism have led to the development of the granular computing (GrC) paradigm in the late 1990s. Subsequent research has highlighted the fact that many founding principles of GrC have, in fact, been adopted in other ... View full abstract»

• ### Approaches to Robust Filtering Design of Discrete Time Fuzzy Dynamic Systems

Publication Year: 2008, Page(s):331 - 340
Cited by:  Papers (40)
| | PDF (616 KB) | HTML

This paper presents two filter design methods for discrete time fuzzy dynamic systems based on a piecewise quadratic Lyapunov function. It is shown that the resulting filtering error system is globally stable with guaranteed Hinfin or generalized H2 performance and the filter gains can be obtained by solving a set of linear matrix inequalities. Two simulation examples are als... View full abstract»

• ### Uncalibrated Eye-to-Hand Visual Servoing Using Inverse Fuzzy Models

Publication Year: 2008, Page(s):341 - 353
Cited by:  Papers (16)
| | PDF (1621 KB) | HTML

A new uncalibrated eye-to-hand visual servoing based on inverse fuzzy modeling is proposed in this paper. In classical visual servoing, the Jacobian plays a decisive role in the convergence of the controller, as its analytical model depends on the selected image features. This Jacobian must also be inverted online. Fuzzy modeling is applied to obtain an inverse model of the mapping between image f... View full abstract»

• ### A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets

Publication Year: 2008, Page(s):354 - 370
Cited by:  Papers (205)
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Many real problems dealing with qualitative aspects use linguistic approaches to assess such aspects. In most of these problems, a uniform and symmetrical distribution of the linguistic term sets for linguistic modeling is assumed. However, there exist problems whose assessments need to be represented by means of unbalanced linguistic term sets, i.e., using term sets that are not uniformly and sym... View full abstract»

• ### A Probability-Based Approach to Comparison of Fuzzy Numbers and Applications to Target-Oriented Decision Making

Publication Year: 2008, Page(s):371 - 387
Cited by:  Papers (25)
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In this paper, we introduce a new comparison relation on fuzzy numbers based on their alpha-cut representation and comparison probabilities of interval values. Basically, this comparison process combines a widely accepted interpretation of fuzzy sets together with the uncertain characteristics inherent in the representation of fuzzy numbers. The proposed comparison relation is then applied to the ... View full abstract»

• ### Gradual Numbers and Their Application to Fuzzy Interval Analysis

Publication Year: 2008, Page(s):388 - 402
Cited by:  Papers (63)
| | PDF (351 KB) | HTML

In this paper, we introduce a new way of looking at fuzzy intervals. Instead of considering them as fuzzy sets, we see them as crisp sets of entities we call gradual (real) numbers. They are a gradual extension of real numbers, not of intervals. Such a concept is apparently missing in fuzzy set theory. Gradual numbers basically have the same algebraic properties as real numbers, but they are funct... View full abstract»

• ### Evaluating Students' Answerscripts Using Fuzzy Numbers Associated With Degrees of Confidence

Publication Year: 2008, Page(s):403 - 415
Cited by:  Papers (23)
| | PDF (565 KB) | HTML

This paper presents a new approach for evaluating students' answerscripts using fuzzy numbers associated with degrees of confidence of the evaluator. The satisfaction levels awarded to the questions of students' answerscripts are represented by fuzzy numbers associated with degrees of confidence between zero and one. The arithmetic operations between the alpha-cuts of fuzzy numbers are used to eva... View full abstract»

• ### Wireless Sensor Network Lifetime Analysis Using Interval Type-2 Fuzzy Logic Systems

Publication Year: 2008, Page(s):416 - 427
Cited by:  Papers (29)
| | PDF (1393 KB) | HTML

Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in sensor network research. In this paper, we present a novel approach based on fuzzy logic systems to analyze the lifetime of a wireless sensor network. We demonstrate that a type-2 fuzzy membership function (MF), i.e., a Gaussian MF with uncertain standard deviation (std) is most appropriate to model... View full abstract»

• ### Fuzzy Regression Analysis by Support Vector Learning Approach

Publication Year: 2008, Page(s):428 - 441
Cited by:  Papers (39)
| | PDF (947 KB) | HTML

Support vector machines (SVMs) have been very successful in pattern classification and function approximation problems for crisp data. In this paper, we incorporate the concept of fuzzy set theory into the support vector regression machine. The parameters to be estimated in the SVM regression, such as the components within the weight vector and the bias term, are set to be the fuzzy numbers. This ... View full abstract»

• ### Representation and Reasoning Under Uncertainty in Deception Detection: A Neuro-Fuzzy Approach

Publication Year: 2008, Page(s):442 - 454
Cited by:  Papers (8)
| | PDF (638 KB) | HTML

An analysis of the process and human cognitive model of deception detection (DD) shows that DD is infused with uncertainty, especially in high-stake situations. There is a recent trend toward automating DD in computer-mediated communication. However, extant approaches to automatic DD overlook the importance of representation and reasoning under uncertainty in DD. They represent uncertain cues as c... View full abstract»

• ### Inferring Gene Regulatory Networks From Expression Data by Discovering Fuzzy Dependency Relationships

Publication Year: 2008, Page(s):455 - 465
Cited by:  Papers (8)
| | PDF (830 KB) | HTML

For one to infer the structures of a gene regulatory network (GRN), it is important to identify, for each gene in the GRN, which other genes can affect its expression and how they can affect it. For this purpose, many algorithms have been developed to generate hypotheses about the presence or absence of interactions between genes. These algorithms, however, cannot be used to determine if a gene ac... View full abstract»

• ### Fuzzy Optimization Models for the Design of WDM Networks

Publication Year: 2008, Page(s):466 - 476
Cited by:  Papers (6)
| | PDF (676 KB) | HTML

The wavelength-division multiplexing network design problem is considered in this paper. The literature is replete with prescriptive integer programming models for various versions of wavelength-division multiplexing network design problems, but in no case they consider the real situation of solving them taking into account their inherent vagueness. In this paper, this vagueness is assumed and han... View full abstract»

• ### Towards a General Class of Operators for Fuzzy Systems

Publication Year: 2008, Page(s):477 - 484
Cited by:  Papers (14)
| | PDF (275 KB) | HTML

Our starting point is the multiplicative utility function which is extensively used in the theory of multicriteria decision making. Its associativity is shown and as its generalization a class of operators is introduced with fine and useful properties. As in special cases, it reduces to well-known operators of fuzzy set theory: min/max, product, Einstein, Hamacher, Dombi, and drastic. As a consequ... View full abstract»

• ### Automatic Tuning of a Fuzzy Visual System Using Evolutionary Algorithms: Single-Objective Versus Multiobjective Approaches

Publication Year: 2008, Page(s):485 - 501
Cited by:  Papers (14)
| | PDF (1233 KB) | HTML

One of the main advantages of fuzzy systems is their ability to design comprehensible models of real-world systems, thanks to the use of a fuzzy rule structure easily interpretable by human beings. This is especially useful for the design of fuzzy logic controllers, where the knowledge base can be extracted from expert knowledge. Even more, the availability of a readable structure allows the human... View full abstract»

• ### H$_{infty}$ Fuzzy Observer-Based Control for a Class of Nonlinear Distributed Parameter Systems With Control Constraints

Publication Year: 2008, Page(s):502 - 516
Cited by:  Papers (61)
| | PDF (579 KB) | HTML

An Hinfin fuzzy observer-based control design is proposed for a class of nonlinear parabolic partial differential equation (PDE) systems with control constraints, for which the eigenspectrum of the spatial differential operator can be partitioned into a finite-dimensional slow one and an infinite-dimensional stable fast complement. In the proposed control scheme, Galerkin's method is in... View full abstract»

• ### Fuzzifying Allen's Temporal Interval Relations

Publication Year: 2008, Page(s):517 - 533
Cited by:  Papers (21)
| | PDF (770 KB) | HTML

When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper, we propose a framework to represent, compute, and reason about temporal relationships between such events. Since our model is based on fuzzy orderings of time points, it is not only suitable to express precise relationships between imprecise events (ldquoRoosevelt died be... View full abstract»

• ### Design of Observer-Based $H_infty$ Control for Fuzzy Time-Delay Systems

Publication Year: 2008, Page(s):534 - 543
Cited by:  Papers (44)
| | PDF (599 KB) | HTML

This paper addresses the problem of observer-based Hinfin control for nonlinear systems with time-varying delay represented by Takagi-Sugeno (T-S) fuzzy model. It presents a single-step linear matrix inequality (LMI) method for the fuzzy control design, which overcomes the drawback of the two-step LMI approach often encountered in the literature. The derivation relies mainly on a propos... View full abstract»

• ### Further Comment on “Optimal Fuzzy Controller Design: Local Concept Approach”

Publication Year: 2008, Page(s):544 - 546
Cited by:  Papers (1)
| | PDF (313 KB) | HTML

Stability analysis and optimality are important in any systems. In the paper, "optimal fuzzy controller design: local concept approach," optimal fuzzy controller is design for Takagi-Sugeno fuzzy model. Unfortunately, it seems that some errors are happen and no simple correction can be done. In this paper, we show that some errors exit in the aforementioned paper with simple and clear examples. View full abstract»

• ### Reply to "Further Comment on 'Optimal Fuzzy Controller Design: Local Concept Approach'"

Publication Year: 2008, Page(s):547 - 549
| | PDF (143 KB) | HTML

We proposed two approaches to solve a quadratic optimal problem of Takagi-Sugeno (T-S) fuzzy-model-based nonlinear systems. These two approaches are totally different in both concept and derivation even they deal with the same issue and the adopted notations look similar. Readers are suggested to clear local-concept approach away from their brains and reexamine the global-concept approach. Then, y... View full abstract»

## 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