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# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 25 of 28

Publication Year: 2008, Page(s):C1 - C2
| PDF (43 KB)
• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2008, Page(s): C2
| PDF (41 KB)
• ### Fuzzy Particle Filtering for Uncertain Systems

Publication Year: 2008, Page(s):1114 - 1129
Cited by:  Papers (12)
| | PDF (1274 KB) | HTML

In this paper, we propose a novel fuzzy particle filtering method for online estimation of nonlinear dynamic systems with fuzzy uncertainties. This approach uses a sequential fuzzy simulation to approximate the possibilities of the state intervals in the state-space, and estimates the state by fuzzy expected value operator. To solve the degeneracy problem of the fuzzy particle filter, one correspo... View full abstract»

• ### Attributes Reduction Using Fuzzy Rough Sets

Publication Year: 2008, Page(s):1130 - 1141
Cited by:  Papers (114)
| | PDF (690 KB) | HTML

Fuzzy rough sets are the generalization of traditional rough sets to deal with both fuzziness and vagueness in data. The existing researches on fuzzy rough sets are mainly concentrated on the construction of approximation operators. Less effort has been put on the attributes reduction of databases with fuzzy rough sets. This paper mainly focuses on the attributes reduction with fuzzy rough sets. A... View full abstract»

• ### Improved L2 Gain Performance Controller Synthesis for Takagi–Sugeno Fuzzy System

Publication Year: 2008, Page(s):1142 - 1150
Cited by:  Papers (13)
| | PDF (339 KB) | HTML

In this paper, an improved L2 gain performance controller synthesis is proposed for Takagi-Sugeno (T-S) fuzzy system. The T-S fuzzy controller can be easily derived by a three-step procedure with the linear matrix inequalities (LMIs) technique. First, a new T-S fuzzy model structure is presented, which includes the original T-S fuzzy plant with stable pre- and post filters on the input and output ... View full abstract»

• ### An Interactive Satisfying Method Based on Alternative Tolerance for Multiple Objective Optimization With Fuzzy Parameters

Publication Year: 2008, Page(s):1151 - 1160
Cited by:  Papers (7)
| | PDF (250 KB) | HTML

An interactive satisfying method based on alternative tolerance is presented for the multiple objective optimization problem with fuzzy parameters. Using the alpha-level sets of the fuzzy numbers, all the objectives are modeled as the fuzzy goals, and the tolerances of the objectives are iteratively changed according to a decision maker for a satisfying solution. Via a specific attainable point pr... View full abstract»

• ### Construction of a Neurofuzzy Network Capable of Extrapolating (and Interpolating) With Respect to the Convex Hull of a Set of Input Samples in ${{bb R}}^n$

Publication Year: 2008, Page(s):1161 - 1179
Cited by:  Papers (3)  |  Patents (2)
| | PDF (3893 KB) | HTML

The problem of regression estimation is considered with a specific regard for the distinction between interpolation and extrapolation. A neurofuzzy network named NFECH is proposed that is capable of extrapolating (and interpolating) with respect to the convex hull of a finite set of input samples X sub Ropfn. The geometrical construction of the proposed network is e... View full abstract»

• ### On the Generalization of Single Input Rule Modules Connected Type Fuzzy Reasoning Method

Publication Year: 2008, Page(s):1180 - 1187
Cited by:  Papers (31)
| | PDF (226 KB) | HTML

Yubazaki have proposed a ldquosingle input rule modules connected type fuzzy reasoning method (SIRMs method)rdquo in which its final output is obtained by summarizing the product of importance degree and inference result from single input fuzzy rule modules. This paper proposes a ldquofunctional-type SIRMs method,rdquo which is an extended version of the SIRMs method, and clarifies the relationshi... View full abstract»

• ### LMI-Based Approach for Output-Feedback Stabilization for Discrete-Time Takagi--Sugeno Systems

Publication Year: 2008, Page(s):1188 - 1196
Cited by:  Papers (35)
| | PDF (275 KB) | HTML

Static output-feedback stabilizing controllers for nonlinear systems represented by discrete-time Takagi-Sugeno fuzzy models are studied. The main result concerns the stabilization based on the parallel distributed compensation (PDC) approach. Sufficient conditions are provided for quadratic and nonquadratic stability. To design static output-feedback stabilizing controllers, a numerical procedure... View full abstract»

• ### Hierarchical Fuzzy Systems for Function Approximation on Discrete Input Spaces With Application

Publication Year: 2008, Page(s):1197 - 1215
Cited by:  Papers (13)
| | PDF (546 KB) | HTML

This paper investigates the capabilities of hierarchical fuzzy systems to approximate functions on discrete input spaces. First, it is shown that any function on a discrete space has an arbitrary separable hierarchical structure and can be naturally approximated by hierarchical fuzzy systems. As a by-product of this result, a discrete version of Kolmogorov's theorem is obtained; second, it is prov... View full abstract»

• ### A Fuzzy Inverse Model Construction Method for General Monotonic Multi-Input-- Single-Output (MISO) Systems

Publication Year: 2008, Page(s):1216 - 1231
Cited by:  Papers (13)
| | PDF (871 KB) | HTML

This paper presents a novel method of systematically constructing a fuzzy inverse model for general multi-input-single-output (MISO) systems represented with triangular input membership functions, singleton output membership function, and fuzzy-mean defuzzification. The fuzzy inverse model construction method has the ability of uniquely determining the inverse relationship for each input-output pa... View full abstract»

• ### Design of Cascade Adaptive Fuzzy Sliding-Mode Control for Nonlinear Two-Axis Inverted-Pendulum Servomechanism

Publication Year: 2008, Page(s):1232 - 1244
Cited by:  Papers (28)
| | PDF (814 KB) | HTML

Because the dynamic characteristic of a two-axis inverted-pendulum servomechanism is a nonlinear underactuated system, it is difficult to design a suitable control scheme that realizes real-time stabilization and accurate tracking control simultaneously. In general, the techniques developed for fully actuated systems cannot be used directly in underactuated systems. In this study, a cascade adapti... View full abstract»

• ### LMI-Based Adaptive Tracking Control for Parametric Strict-Feedback Systems

Publication Year: 2008, Page(s):1245 - 1258
Cited by:  Papers (6)
| | PDF (303 KB) | HTML

This paper presents an effective linear matrix inequality (LMI)-based adaptive scheme to design the output tracking controller for parametric strict-feedback systems. In our previous paper, the concepts of virtual desired variables (VDVs) and, in turn, the so-called generalized kinematics are introduced to benefit the tracking design. All the VDVs can be determined without fail from the generalize... View full abstract»

• ### Modeling Fuzziness Measures for Best Wavelet Selection

Publication Year: 2008, Page(s):1259 - 1270
Cited by:  Papers (4)
| | PDF (1484 KB) | HTML

Uncertainty measures model different types of uncertainty that are inherent in complex information systems. Measures that model either fuzzy or probabilistic uncertainty types have been explored in the literature. This paper shows that a combination of fuzzy and probabilistic uncertainty types, combined with the generalized maximum uncertainty principle, can be applied to time-series sequence clas... View full abstract»

• ### Internet-Based Smart-Space Navigation of a Car-Like Wheeled Robot Using Fuzzy-Neural Adaptive Control

Publication Year: 2008, Page(s):1271 - 1284
Cited by:  Papers (7)
| | PDF (2040 KB) | HTML

In this paper, a navigation system is developed. The system includes path tracking and obstacle avoidance apparatus for a car-like wheeled robot (CLWR) within an Internet-based smart-space (IBSS) using fuzzy-neural adaptive control (FNAC). Two distributed charge-coupled device (CCD) cameras are installed to capture both the dynamic pose of the CLWR and the obstacle. Based on the control authority ... View full abstract»

• ### Fuzzy Interpolative Reasoning for Sparse Fuzzy-Rule-Based Systems Based on the Areas of Fuzzy Sets

Publication Year: 2008, Page(s):1285 - 1301
Cited by:  Papers (67)
| | PDF (616 KB) | HTML

Fuzzy interpolative reasoning is an inference technique for dealing with the sparse rules problem in sparse fuzzy-rule-based systems. In this paper, we present a new fuzzy interpolative reasoning method for sparse fuzzy-rule-based systems based on the areas of fuzzy sets. The proposed method uses the weighted average method to infer the fuzzy interpolative reasoning results and has the following a... View full abstract»

• ### Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling

Publication Year: 2008, Page(s):1302 - 1314
Cited by:  Papers (23)
| | PDF (372 KB) | HTML

Since the fuzzy cerebellar model articulation controller (FCMAC) uses linguistic variables, it is highly intuitive and easily comprehended. Despite the FCMAC's good local generalization capability for approximating nonlinear functions and fast learning, a normal FCMAC requires huge memory, and its dimension increases exponentially with the number of inputs. In order to overcome the memory explosio... View full abstract»

• ### Hybrid Game Strategy in Fuzzy Markov-Game-Based Control

Publication Year: 2008, Page(s):1315 - 1327
Cited by:  Papers (5)
| | PDF (1066 KB) | HTML

This paper proposes a novel control approach that incorporates a hybrid game strategy in Markov-game-based fuzzy control. Specifically, we aim at designing a ldquosafe and universally consistentrdquo controller that exhibits an ability to maintain performance against large disturbance and environment variations. The proposed hybrid control is a convex combination (based on experiential information... View full abstract»

• ### Relaxed Stability and Performance LMI Conditions for Takagi--Sugeno Fuzzy Systems With Polynomial Constraints on Membership Function Shapes

Publication Year: 2008, Page(s):1328 - 1336
Cited by:  Papers (85)
| | PDF (273 KB) | HTML

Most linear matrix inequality (LMI) fuzzy control results in literature are valid for any membership function, i.e., independent of the actual membership shape. Hence, they are conservative (with respect to other nonlinear control approaches) when specific knowledge of the shapes is available. This paper presents relaxed LMI conditions for fuzzy control that incorporate such shape information in t... View full abstract»

• ### A Novel Approach to $H_{bm infty}$ Decentralized Fuzzy-Observer-Based Fuzzy Control Design for Nonlinear Interconnected Systems

Publication Year: 2008, Page(s):1337 - 1350
Cited by:  Papers (59)
| | PDF (266 KB) | HTML

In general, due to the interactions among subsystems, it is difficult to design an H infin-decentralized output-feedback controller for nonlinear interconnected systems. This study introduces H infin-decentralized fuzzy-observer-based fuzzy control design, where the premise variables depend on the state variables estimated by a fuzzy observer, for nonlinear inte... View full abstract»

• ### A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation

Publication Year: 2008, Page(s):1351 - 1361
Cited by:  Papers (78)
| | PDF (2423 KB) | HTML

Hidden Markov random field (HMRF) models have been widely used for image segmentation, as they appear naturally in problems where a spatially constrained clustering scheme, taking into account the mutual influences of neighboring sites, is asked for. Fuzzy c-means (FCM) clustering has also been successfully applied in several image segmentation applications. In this paper, we combine the be... View full abstract»

• ### A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control

Publication Year: 2008, Page(s):1362 - 1378
Cited by:  Papers (45)
| | PDF (526 KB) | HTML

This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural network (FLNN) to the consequent part of the fuzzy rules. This study uses orthogonal polynomials and linearly independent functions in a functional expansion of the FLNN. Thus, the consequent part of the proposed FLNFN model is a nonl... View full abstract»

• ### Modeling Random Fuzzy Renewal Reward Processes

Publication Year: 2008, Page(s):1379 - 1385
Cited by:  Papers (3)
| | PDF (122 KB) | HTML

This short paper discusses the modeling of random fuzzy renewal reward processes in which the interarrival times and rewards are represented by nonnegative random fuzzy variables. Based on random fuzzy theory, a random fuzzy variable denotes a measurable function from a credibility space to a collection of random variables. Under this setting, the long-run expected reward per unit time is addresse... View full abstract»

• ### IEEE Transactions on Fuzzy Systems special issue on computing with words

Publication Year: 2008, Page(s): 1386
| PDF (142 KB)
• ### Access over 1 million articles - The IEEE Digital Library [advertisement]

Publication Year: 2008, Page(s): 1387
| PDF (370 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