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# IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 21 of 21

Publication Year: 2006, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2006, Page(s): C2
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• ### Error Estimation of Perturbations Under CRI

Publication Year: 2006, Page(s):709 - 715
Cited by:  Papers (8)
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The analysis of stability and robustness of fuzzy reasoning is an important issue in areas like intelligent systems and fuzzy control. An interesting aspect is to what extent the perturbation of input in a fuzzy reasoning scheme causes the oscillation of the output. In particular, when the error limits (restrictions) of the input values are given, what the error limits of the output values are. In... View full abstract»

• ### Mixed Feedforward/Feedback Based Adaptive Fuzzy Control for a Class of MIMO Nonlinear Systems

Publication Year: 2006, Page(s):716 - 727
Cited by:  Papers (50)
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This paper proposes a mixed feedforward/feedback (FFB) based adaptive fuzzy controller design for a class of multiple-input-multiple-output (MIMO) uncertain nonlinear systems. By integrating both feedforward and feedback compensation, we introduce the FFB-based fuzzy controller composed of a feedforward fuzzy compensator and a robust error-feedback compensator. To achieve a forward compensation of... View full abstract»

• ### Speeding up VLSI Layout Verification Using Fuzzy Attributed Graphs Approach

Publication Year: 2006, Page(s):728 - 737
Cited by:  Papers (3)  |  Patents (1)
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Technical and economic factors have caused the field of physical design automation to receive increasing attention and commercialization. The steady down-scaling of complementary metal oxide semiconductor (CMOS) device dimensions has been the main stimulus to the growth of microelectronics and computer-aided very large scale integration (VLSI) design. The more an Integrated Circuit (IC) is scaled,... View full abstract»

• ### Robust $H_{infty}$ Fuzzy Control Approach for a Class of Markovian Jump Nonlinear Systems

Publication Year: 2006, Page(s):738 - 754
Cited by:  Papers (67)
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This paper addresses the problem of stabilizing a class of nonlinear systems subject to Markovian jump parameters using a robust stochastic fuzzy controller with Hinfin performance. The class of jump nonlinear systems considered is described by a fuzzy model composed of two levels: A crisp level which represents the jumps and a fuzzy level which represents the system nonlinearities. Con... View full abstract»

• ### Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

Publication Year: 2006, Page(s):755 - 766
Cited by:  Papers (87)
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A novel hybrid learning algorithm based on a genetic algorithm to design a growing fuzzy neural network, named self-organizing fuzzy neural network based on genetic algorithms (SOFNNGA), to implement Takagi-Sugeno (TS) type fuzzy models is proposed in this paper. A new adding method based on geometric growing criterion and the epsiv-completeness of fuzzy rules is first used to generate the initial... View full abstract»

• ### A Multicriteria Approach to Data Summarization Using Concept Ontologies

Publication Year: 2006, Page(s):767 - 780
Cited by:  Papers (20)
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This paper describes a conceptual and theoretical framework to allow better user control over data summarization for knowledge discovery. Basic to the approach is a measure of quality of summarization of data using categories provided by the hierarchical structure of concept ontology. This involves the modeling, using a fuzzy sets approach, of the four criteria implicit in a summarization imperati... View full abstract»

• ### Type-2 Fuzzistics for Symmetric Interval Type-2 Fuzzy Sets: Part 1, Forward Problems

Publication Year: 2006, Page(s):781 - 792
Cited by:  Papers (109)
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Interval type-2 fuzzy sets (T2 FS) play a central role in fuzzy sets as models for words and in engineering applications of T2 FSs. These fuzzy sets are characterized by their footprints of uncertainty (FOU), which in turn are characterized by their boundaries-upper and lower membership functions (MF). In this two-part paper, we focus on symmetric interval T2 FSs for which the centroid (which is a... View full abstract»

• ### Implicative Fuzzy Associative Memories

Publication Year: 2006, Page(s):793 - 807
Cited by:  Papers (40)
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Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisy or incomplete version of an input pattern. In this paper, we introduce implicative fuzzy associative memories (IFAMs), a class of associative neural memories based on fuzzy set theory. An IFAM consist... View full abstract»

• ### Interval Type-2 Fuzzy Logic Systems Made Simple

Publication Year: 2006, Page(s):808 - 821
Cited by:  Papers (645)
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To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). Unfortunately, there is a heavy educational burden even to using an IT2 FLS. This burden has to do with first having to learn general T2 FS mathematics, and then specializing it to an IT... View full abstract»

• ### Controller Design Under Fuzzy Pole-Placement Specifications: An Interval Arithmetic Approach

Publication Year: 2006, Page(s):822 - 836
Cited by:  Papers (18)
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This paper discusses fuzzy specifications for robust controller design, as a way to define different specification levels for different plants in a family and allow the control of performance degradation. Controller synthesis will be understood as mapping a fuzzy plant onto a desired fuzzy set of closed-loop specifications. In this context, a fuzzy plant is considered as a possibility distribution... View full abstract»

• ### An Orness Measure for Quasi-Arithmetic Means

Publication Year: 2006, Page(s):837 - 848
Cited by:  Papers (17)
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In this paper, an orness measure to reflect the or-like degree of the quasi-arithmetic mean operator is proposed. With the generating function representation method, some properties of a quasi-arithmetic mean, associated with its orness measure, are analyzed. Then, the paper focuses on two kinds of parameterized quasi-arithmetic means with exponential function and power function generators respect... View full abstract»

• ### Nonsingular Terminal Sliding Mode Control of Robot Manipulators Using Fuzzy Wavelet Networks

Publication Year: 2006, Page(s):849 - 859
Cited by:  Papers (99)
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This paper presents an adaptive nonsingular terminal sliding mode (NTSM) tracking control design for robotic systems using fuzzy wavelet networks. Compared with linear hyperplane-based sliding control, terminal sliding mode controller can provide faster convergence and higher precision control. Therefore, a terminal sliding controller combined with the fuzzy wavelet network, which can accurately a... View full abstract»

• ### Logic-Based Fuzzy Neurocomputing With Unineurons

Publication Year: 2006, Page(s):860 - 873
Cited by:  Papers (31)
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In this paper, we introduce a new category of logic neurons- unineurons that are based on the concept of uninorms. As uninorms form a certain generalization of the generic categories of fuzzy set operators such as t-norms and t-conorms, the proposed unineurons inherit their logic processing capabilities which make them flexible and logically appealing. We discuss several fundamental categories of ... View full abstract»

• ### Stability Conditions for LMI-Based Fuzzy Control From Viewpoint of Membership Functions

Publication Year: 2006, Page(s):874 - 884
Cited by:  Papers (16)
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In this paper, we investigate the stability conditions for linear matrix inequality (LMI)-based fuzzy control design. Especially, we focus on the dependence of the stability upon membership functions. In general, the membership functions in the rule bases of Takagi-Sugeno (T-S) fuzzy model and controllers are the same and restricted between 0 and 1. In contrast to this setting, we obtain some new ... View full abstract»

• ### MembershipMap: Data Transformation Based on Granulation and Fuzzy Membership Aggregation

Publication Year: 2006, Page(s):885 - 896
Cited by:  Papers (10)
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We propose a new data-driven transformation that facilitates many data mining, interpretation, and analysis tasks. Our approach, called MembershipMap, strives to granulate and extract the underlying subconcepts of each raw attribute. The orthogonal union of these subconcepts are then used to define a new membership space. The subconcept soft labels of each point in the original space determine the... View full abstract»

• ### A New Fuzzy Multidimensional Model

Publication Year: 2006, Page(s):897 - 912
Cited by:  Papers (20)
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As a result of the use of OLAP technology in new fields of knowledge and the merging of data from different sources, it has become necessary for models to support this technology. In this paper, we shall propose a new multidimensional model that can manage imprecision in both dimensions and facts and hide the complexity to the end user. The multidimensional structure is therefore able to model dat... View full abstract»

• ### 2006 Index

Publication Year: 2006, Page(s):913 - 920
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• ### IEEE Computational Intelligence Society Information

Publication Year: 2006, Page(s): C3
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• ### IEEE Transactions on Fuzzy Systems Information for authors

Publication Year: 2006, Page(s): C4
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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