IEEE Transactions on Fuzzy Systems

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Publication Year: 2009, Page(s): C1
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• IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2009, Page(s): C2
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• Developing a Fuzzy Bicluster Regression to Estimate Heat Tolerance in Plants by Chlorophyll Fluorescence

Publication Year: 2009, Page(s):485 - 504
Cited by:  Papers (4)
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This paper presents a straightforward and useful fuzzy regression approach to estimate heat tolerance of plants by chlorophyll fluorescence measurement. The chlorophyll fluorescence measurement is an indicator of functional change of photosynthesis and is sensitive to temperature. Using the fluorescence-temperature curves, the experimenter may determine the heat tolerance (Tc) of plants by ... View full abstract»

• Factor Analysis Latent Subspace Modeling and Robust Fuzzy Clustering Using $t$-Distributions

Publication Year: 2009, Page(s):505 - 517
Cited by:  Papers (28)
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Factor analysis is a latent subspace model commonly used for local dimensionality reduction tasks. Fuzzy c-means (FCM) type fuzzy clustering approaches are closely related to Gaussian mixture models (GMMs), and expectation-maximization (EM) like algorithms have been employed in fuzzy clustering with regularized objective functions. Student's t -mixture models (SMMs) have been propose... View full abstract»

• Robust Quadratic-Optimal Control of TS-Fuzzy-Model-Based Dynamic Systems With Both Elemental Parametric Uncertainties and Norm-Bounded Approximation Error

Publication Year: 2009, Page(s):518 - 531
Cited by:  Papers (23)
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This paper considers the design problem of the robust quadratic-optimal parallel-distributed-compensation (PDC) controllers for Takagi-Sugeno (TS) fuzzy-model-based control systems with both elemental parametric uncertainties and norm-bounded approximation error. By complementarily fusing the robust stabilizability condition, the orthogonal functions approach (OFA), and the hybrid Taguchi genetic ... View full abstract»

• Dual Fuzzy-Possibilistic Coclustering for Categorization of Documents

Publication Year: 2009, Page(s):532 - 543
Cited by:  Papers (11)
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In this paper, we develop a new soft model dual fuzzy-possibilistic coclustering (DFPC) for document categorization. The proposed model targets robustness to outliers and richer representations of coclusters. DFPC is inspired by an existing algorithm called possibilistic fuzzy C-means (PFCM) that hybridizes fuzzy and possibilistic clustering. It has been shown that PFCM can perform effectively for... View full abstract»

• $H_{infty}$ Controller Synthesis via Switched PDC Scheme for Discrete-Time T--S Fuzzy Systems

Publication Year: 2009, Page(s):544 - 555
Cited by:  Papers (58)
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This paper is concerned with the problem of designing switched state feedback H infin controllers for discrete-time Takagi-Sugeno (T-S) fuzzy systems. New types of state feedback controllers, namely, switched parallel distributed compensation (PDC) controllers, are proposed, which are switched based on the values of membership functions. Switched quadratic Lyapunov functions are ... View full abstract»

• Improving Generalization of Fuzzy IF--THEN Rules by Maximizing Fuzzy Entropy

Publication Year: 2009, Page(s):556 - 567
Cited by:  Papers (164)
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When fuzzy IF-THEN rules initially extracted from data have not a satisfying performance, we consider that the rules require refinement. Distinct from most existing rule-refinement approaches that are based on the further reduction of training error, this paper proposes a new rule-refinement scheme that is based on the maximization of fuzzy entropy on the training set. The new scheme, which is rea... View full abstract»

• A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive Comprehensive Fuzzy Evaluation

Publication Year: 2009, Page(s):568 - 577
Cited by:  Papers (26)
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Fuzzy c-means (FCM) and its variants suffer from two problems-local minima and cluster validity-which have a direct impact on the formation of final clustering. There are two strategies-optimization and center initialization strategies-that address the problem of local minima. This paper proposes a center initialization approach based on a minimum spanning tree to keep FCM from local minima... View full abstract»

• Fuzzy Discrete-Event Systems Under Fuzzy Observability and a Test Algorithm

Publication Year: 2009, Page(s):578 - 589
Cited by:  Papers (33)
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In order to more effectively cope with the real-world problems of vagueness, impreciseness, and subjectivity, fuzzy discrete-event systems (FDESs) were proposed recently. Notably, FDESs have been applied to biomedical control for human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) treatment planning and sensory information processing for robotic control. Qiu independently... View full abstract»

• On the Distributivity of Fuzzy Implications Over Nilpotent or Strict Triangular Conorms

Publication Year: 2009, Page(s):590 - 603
Cited by:  Papers (31)
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Recently, many works have appeared in this very journal dealing with the distributivity of fuzzy implications over t-norms and t-conorms. These equations have a very important role to play in efficient inferencing in approximate reasoning, especially fuzzy control systems. Of all the four equations considered, the equation I(x, S1 (y,z)) = S2(I(x,y),I(x,z)), when S1 View full abstract»

• Delay-Dependent $hbox{H}_{infty }$ Filter Design for Discrete-Time Fuzzy Systems With Time-Varying Delays

Publication Year: 2009, Page(s):604 - 616
Cited by:  Papers (46)
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This paper investigates delay-dependent Hinfin filter design problems for discrete-time fuzzy systems with time-varying delays. First, a novel delay-dependent piecewise Lyapunov-Krasovskii functional (DDPLKF) is proposed in which both the upper bound of delays and the delay interval are considered. Based on this DDPLKF, the delay-dependent stability criteria for discrete-time systems wi... View full abstract»

• Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand

Publication Year: 2009, Page(s):617 - 629
Cited by:  Papers (69)
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The aim of the train timetable problem is to determine arrival and departure times at each station so that no collisions will happen between different trains and the resources can be utilized effectively. Due to uncertainty of real systems, train timetables have to be made under an uncertain environment under most circumstances. This paper mainly investigates a passenger train timetable problem wi... View full abstract»

• Real-Time Constrained Fuzzy Arithmetic

Publication Year: 2009, Page(s):630 - 640
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Klir introduced constrained fuzzy arithmetic (CFA) as a solution to the unnecessary precision loss when dealing with fuzzy quantities that represent linguistic variables. Since then, some attempts have been made to make CFA efficient, but none of these solutions is suitable for real-time applications. In this paper, we will propose a new CFA algorithm that can be used in such environments. View full abstract»

• Stability of Cascaded Fuzzy Systems and Observers

Publication Year: 2009, Page(s):641 - 653
Cited by:  Papers (26)
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A large class of nonlinear systems can be well approximated by Takagi-Sugeno (TS) fuzzy models with linear or affine consequents. It is well known that the stability of these consequent models does not ensure the stability of the overall fuzzy system. Therefore, several stability conditions have been developed for TS fuzzy systems. We study a special class of nonlinear dynamic systems that can be ... View full abstract»

• On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection

Publication Year: 2009, Page(s):654 - 667
Cited by:  Papers (41)
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Type-2 fuzzy systems are increasing in popularity, and there are many examples of successful applications. While many techniques have been proposed for creating parsimonious type-1 fuzzy systems, there is a lack of such techniques for type-2 systems. The essential problem is to reduce the number of rules, while maintaining the system's approximation performance. In this paper, four novel indexes f... View full abstract»

• Using an Efficient Immune Symbiotic Evolution Learning for Compensatory Neuro-Fuzzy Controller

Publication Year: 2009, Page(s):668 - 682
Cited by:  Papers (8)
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This paper presents an efficient immune symbiotic evolution learning (ISEL) algorithm for the compensatory neuro-fuzzy controller (CNFC). The proposed ISEL method includes three major components-initial population, subgroup symbiotic evolution, and immune system algorithm. First, the self-clustering algorithm that determines proper input space partitioning and finds the mean and variance of the Ga... View full abstract»

• Evidential Reasoning Approach for Multiattribute Decision Analysis Under Both Fuzzy and Interval Uncertainty

Publication Year: 2009, Page(s):683 - 697
Cited by:  Papers (32)
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Many multiple attribute decision analysis (MADA) problems are characterized by both quantitative and qualitative attributes with various types of uncertainties. Incompleteness (or ignorance) and vagueness (or fuzziness) are among the most common uncertainties in decision analysis. The evidential reasoning (ER) and the interval grade ER (IER) approaches have been developed in recent years to suppor... View full abstract»

• Neurofuzzy Networks With Nonlinear Quantum Learning

Publication Year: 2009, Page(s):698 - 710
Cited by:  Papers (18)
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Nonlinear quantum processing allows the solution of an optimization problem by the exhaustive search on all its possible solutions. Hence, it can replace advantageously the algorithms for learning from a training set. In order to pursue this possibility in the case of neurofuzzy networks, we propose in this paper to tailor their architectures to the requirements of quantum processing. In particula... View full abstract»

• Robust Fuzzy Observer-Based Fuzzy Control Design for Nonlinear Discrete-Time Systems With Persistent Bounded Disturbances

Publication Year: 2009, Page(s):711 - 723
Cited by:  Papers (37)
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To date, nonlinear l infin- gain control problems have not been solved by the conventional control methods for nonlinear discrete-time systems with persistent bounded disturbances. This study introduces fuzzy observer-based fuzzy control design, where the premise variables depend on the state variables estimated by a fuzzy observer, to deal with the nonlinear l View full abstract»

• Control Law Proposition for the Stabilization of Discrete Takagi–Sugeno Models

Publication Year: 2009, Page(s):724 - 731
Cited by:  Papers (75)
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This paper deals with the stabilization of a class of discrete nonlinear models, namely those in the Takagi-Sugeno form; its main goal is to reduce conservatism of existing stabilization conditions using a special class of candidate Lyapunov functions and an enhanced control law. It is shown that the use of the aforementioned Lyapunov function leads to less-pessimistic solutions. The usefulness of... View full abstract»

• Comments on "Adaptive Fuzzy $H_{infty }$ Stabilization for Strict-Feedback Canonical Nonlinear Systems Via Backstepping and Small-Gain Approach

Publication Year: 2009, Page(s):732 - 733
Cited by:  Papers (3)
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"For original paper see Y. S. Yang, C. J. Zhou, ibid., vol. 13, no. 1, p. 104-114, (2005)". In this note, we point out some mistakes in a 2005 paper by Yang and Zhou. View full abstract»

• IEEE Transactions on Autonomous Mental Development call for papers

Publication Year: 2009, Page(s): 734
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Publication Year: 2009, Page(s):735 - 736
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• IEEE Computational Intelligence Society Information

Publication Year: 2009, Page(s): C3
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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.

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