# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 25 of 26

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

Publication Year: 2008, Page(s): C2
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• ### Logic Minimization as an Efficient Means of Fuzzy Structure Discovery

Publication Year: 2008, Page(s):553 - 566
Cited by:  Papers (9)
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Established methods of Boolean minimization have previously unseen potential as an efficient and unrestricted means of fuzzy structure discovery, becoming particularly useful within a design methodology for the automatic development of fuzzy models. Traditionally used in digital systems design, logic minimization tools allow us to exploit the fundamental links between binary (two-valued) and fuzzy... View full abstract»

• ### Robust Stabilization of the Distributed Parameter System With Time Delay via Fuzzy Control

Publication Year: 2008, Page(s):567 - 584
Cited by:  Papers (24)
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In this paper, stabilization of the distributed parameter system (DPS) with time delay is studied using Galerkin's method and fuzzy control. With the help of Galerkin's method, the dynamics of DPS with time delay can be first converted into a group of low-order functional ordinary differential equations, which will be used for design of the robust fuzzy controller. The fuzzy controller designed ca... View full abstract»

• ### Matrix Modeling of Hierarchical Fuzzy Systems

Publication Year: 2008, Page(s):585 - 599
Cited by:  Papers (13)
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A matrix procedure to obtain a hierarchical decomposition of a multiple-input-single-output (MISO) fuzzy system is proposed. It is based on the fast inference using transition matrices (FITM) framework recently described. The resulting hierarchical system is totally equivalent to the original one in terms of input-output relation. A study of the rule-reduction capability of this system is carried ... View full abstract»

• ### Fuzzy Reasoning as a Control Problem

Publication Year: 2008, Page(s):600 - 614
Cited by:  Papers (27)
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Different from the dominant view of treating fuzzy reasoning as generalization of classical logical inference, in this paper fuzzy reasoning is treated as a control problem. A new fuzzy reasoning method is proposed that employs an explicit feedback mechanism to improve the robustness of fuzzy reasoning. The fuzzy rule base given a priori serves as a controlled object, and the fuzzy reasoning metho... View full abstract»

• ### Control Synthesis of Singularly Perturbed Fuzzy Systems

Publication Year: 2008, Page(s):615 - 629
Cited by:  Papers (38)
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This paper considers the problem of designing stabilizing and Hinfin controllers for nonlinear singularly perturbed systems described by Takagi-Sugeno fuzzy models with the consideration of the bound of singular perturbation parameter e. For the synthesis problem of simultaneously designing the bound of e and stabilizing or Hinfin controllers, linear matrix inequalities (LMI)... View full abstract»

• ### Artificial Neural Networks are Zero-Order TSK Fuzzy Systems

Publication Year: 2008, Page(s):630 - 643
Cited by:  Papers (17)
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In this paper, the functional equivalence between the action of a multilayered feed-forward artificial neural network (NN) and the performance of a system based on zero-order TSK fuzzy rules is proven. The resulting zero-order TSK fuzzy systems have the two following features: (A) the product t-norm is used to add IF-part fuzzy propositions of the obtained rules and (B) their inputs are the same a... View full abstract»

• ### The Hybrid Fuzzy Least-Squares Regression Approach to Modeling Manufacturing Processes

Publication Year: 2008, Page(s):644 - 651
Cited by:  Papers (18)
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Uncertainty in manufacturing processes is caused both by randomness, as in material properties, and by fuzziness, as in the inexact knowledge. Previous research has seldom considered these two types of uncertainty when modeling manufacturing processes. In this paper, a hybrid fuzzy least-squares regression (HFLSR) approach to modeling manufacturing processes, which does take into consideration the... View full abstract»

• ### Observer-Based Stabilization of T–S Fuzzy Systems With Input Delay

Publication Year: 2008, Page(s):652 - 663
Cited by:  Papers (86)
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This paper discusses the stabilization of Takagi-Sugeno (T-S) fuzzy systems with bounded and time-varying input delay. The robust stabilization via state feedback is first addressed, and delay-dependent stabilization conditions are proposed in terms of LMIs. Observer-based feedback stabilization is also discussed for T-S fuzzy input delay systems without uncertainties. A separate design principle ... View full abstract»

• ### Diagnosis Problem Solving Using Fuzzy Relations

Publication Year: 2008, Page(s):664 - 675
Cited by:  Papers (15)
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This paper deals with the restoration and the identification of the causes (diagnoses) through the observed effects (symptoms) on the basis of fuzzy relations and Zadeh's compositional rule of inference. We propose an approach for building fuzzy systems of diagnosis, which enables solving fuzzy relational equations together with design and tuning of fuzzy relations on the basis of expert and exper... View full abstract»

• ### Robust Adaptive Backstepping Motion Control of Linear Ultrasonic Motors Using Fuzzy Neural Network

Publication Year: 2008, Page(s):676 - 692
Cited by:  Papers (27)
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A robust adaptive fuzzy neural network (RAFNN) backstepping control system is proposed to control the position of an X-Y-Theta motion control stage using linear ultrasonic motors (LUSMs) to track various contours in this study. First, an X-Y-Theta motion control stage is introduced. Then, the single-axis dynamics of LUSM mechanism with the introduction of a lumped uncertainty, which includes cross... View full abstract»

• ### A Complexity Guided Algorithm for Association Rule Extraction on Fuzzy DataCubes

Publication Year: 2008, Page(s):693 - 714
Cited by:  Papers (13)
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The use of online analytical processing (OLAP) systems as data sources for data mining techniques has been widely studied and has resulted in what is known as online analytical mining (OLAM). As a result of both 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 imprecision. We, therefore, need OLAM me... View full abstract»

• ### Robust Stabilization of Uncertain Fuzzy Systems Using Variable Structure System Approach

Publication Year: 2008, Page(s):715 - 724
Cited by:  Papers (21)
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Based on the variable structure system (VSS) theory, we develop a fuzzy control system design method for a class of uncertain nonlinear multivariable systems that can be represented by a Takagi-Sugeno fuzzy model. We make the first attempt to relax the restrictive assumption that each nominal local system model shares the same input channel, which is required in the traditional VSS-based fuzzy con... View full abstract»

• ### Fuzzy Bayesian Modeling of Sea-Level Along the East Coast of Britain

Publication Year: 2008, Page(s):725 - 738
Cited by:  Papers (8)
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A fuzzy Bayesian algorithm is introduced, allowing for the incorporation of both uncertainty and fuzziness into data derived models. This is applied to predicting the sea-level near the Thames Estuary at Sheerness, from tidal gauge measurements down the east coast, astronomical tidal prediction, and meteorological data. We show that this approach can result in accurate, low-dimensional models with... View full abstract»

• ### $H_{infty}$ Filter Design for Nonlinear Systems With Time-Delay Through T–S Fuzzy Model Approach

Publication Year: 2008, Page(s):739 - 746
Cited by:  Papers (66)
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This paper is concerned with the Hinfin filter design for nonlinear systems with time-varying delay via Takagi-Sugeno fuzzy model approach. Delay-dependent design method is proposed in terms of linear matrix inequalities (LMIs), which forms the main contribution of this paper. The main technique used is the free-weighting matrix method combined with a matrix decoupling approach. The res... View full abstract»

• ### Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition

Publication Year: 2008, Page(s):747 - 760
Cited by:  Papers (27)
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In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural pattern representation. On the one hand, the T2 membership function (MF) has a 3-D structure in which the primary MF describes randomness and the secondary MF evaluates the fuzziness of the primary MF. On the other hand, MRFs ... View full abstract»

• ### Efficient Hardware/Software Implementation of an Adaptive Neuro-Fuzzy System

Publication Year: 2008, Page(s):761 - 778
Cited by:  Papers (42)
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This paper describes the development of efficient hardware/software (HW/SW) neuro-fuzzy systems. The model used in this work consists of an adaptive neuro-fuzzy inference system modified for efficient HW/SW implementation. The design of two different on-chip approaches are presented: a high-performance parallel architecture for offline training and a pipelined architecture suitable for online para... View full abstract»

• ### Enhanced Fuzzy System Models With Improved Fuzzy Clustering Algorithm

Publication Year: 2008, Page(s):779 - 794
Cited by:  Papers (61)
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Although traditional fuzzy models have proven to have high capacity of approximating the real-world systems, they have some challenges, such as computational complexity, optimization problems, subjectivity, etc. In order to solve some of these problems, this paper proposes a new fuzzy system modeling approach based on improved fuzzy functions to model systems with continuous output variable. The n... View full abstract»

• ### The $h$-Index and the Number of Citations: Two Fuzzy Integrals

Publication Year: 2008, Page(s):795 - 797
Cited by:  Papers (34)
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In this paper, we review two of the most well-known citation indexes and establish their connections with the Choquet and Sugeno integrals. In particular, we show that the recently established h-index is a particular case of the Sugeno integral, and that the number of citations corresponds to the Choquet integral. In both cases, they use the same fuzzy measure. The results presented here permit on... View full abstract»

• ### Stabilization of Networked Stochastic Time-Delay Fuzzy Systems With Data Dropout

Publication Year: 2008, Page(s):798 - 807
Cited by:  Papers (56)
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This paper deals with the problem of stabilization for networked stochastic systems with transmitted data dropout. The plant in the networked control system (NCS) under consideration is a discrete stochastic time-delay nonlinear system represented by a Takagi-Sugeno fuzzy model. Exponential stability criteria of the NCS are developed by using a common quadratic Lyapunov function and a fuzzy Lyapun... View full abstract»

• ### Fuzzy Qualitative Robot Kinematics

Publication Year: 2008, Page(s):808 - 822
Cited by:  Papers (32)
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We propose a fuzzy qualitative (FQ) version of robot kinematics with the goal of bridging the gap between symbolic or qualitative functions and numerical sensing and control tasks for intelligent robotics. First, we revisit FQ trigonometry, and then derive its derivative extension. Next, we replace the trigonometry role in robot kinematics using FQ trigonometry and the proposed derivative extensio... View full abstract»

Publication Year: 2008, Page(s): 823
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Publication Year: 2008, Page(s): 824
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• ### IEEE Computational Intelligence Society Information

Publication Year: 2008, 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