# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 22 of 22

Publication Year: 2012, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2012, Page(s): C2
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• ### Human Gait Modeling Using a Genetic Fuzzy Finite State Machine

Publication Year: 2012, Page(s):205 - 223
Cited by:  Papers (41)
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Human gait modeling consists of studying the biomechanics of this human movement. Its importance lies in the fact that its analysis can help in the diagnosis of walking and movement disorders or rehabilitation programs, among other medical situations. Fuzzy finite state machines can be used to model the temporal evolution of this type of phenomenon. Nevertheless, the definition of details of the m... View full abstract»

• ### An Automatic Approach for Learning and Tuning Gaussian Interval Type-2 Fuzzy Membership Functions Applied to Lung CAD Classification System

Publication Year: 2012, Page(s):224 - 234
Cited by:  Papers (43)
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The potential of type-2 fuzzy sets to manage high levels of uncertainty in the subjective knowledge of experts or of numerical information has focused on control and pattern classification systems in recent years. One of the main challenges in designing a type-2 fuzzy logic system (FLS) is how to estimate the parameters of the type-2 fuzzy membership function (T2MF) and the footprint of uncertaint... View full abstract»

• ### Exact Output Regulation for Nonlinear Systems Described by Takagi–Sugeno Fuzzy Models

Publication Year: 2012, Page(s):235 - 247
Cited by:  Papers (16)
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The exact output regulation for Takagi-Sugeno (T-S) fuzzy models depends on two conditions: 1) The local steady-state zero-error manifolds have to be the same for every local subsystem, and 2) the local input matrices have to be the same for every local subsystem included in the T-S fuzzy model. These conditions are difficult to satisfy in general. In this paper, those conditions are relaxed by so... View full abstract»

• ### A Linguistic Approach to Influencing Decision Behavior

Publication Year: 2012, Page(s):248 - 261
Cited by:  Papers (6)
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In this paper, we present a number of approaches using fuzzy set theory to influence decision-making behavior, which is a type of human persuasion. We couch the approach as the process to draw a conclusion “V is P” given “V is F,” where P is a fuzzy subset of F representing some linguistic value for V that corresponds to a perception of the world V is P, which we want a... View full abstract»

• ### Second-Order Sliding Fuzzy Interval Type-2 Control for an Uncertain System With Real Application

Publication Year: 2012, Page(s):262 - 275
Cited by:  Papers (29)
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A new second-order sliding-mode type-2 fuzzy controller for nonlinear uncertain perturbed systems is developed in this paper. To overcome the constraint on the knowledge of the system model, we have used local models that are related to some operating points to synthesize a type-2 nominal fuzzy global model. The control is based on the super-twisting algorithm, which is among second-order sliding-... View full abstract»

• ### Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach

Publication Year: 2012, Page(s):276 - 290
Cited by:  Papers (36)
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When dealing with datasets that are characterized by a large number of instances, multiobjective evolutionary learning (MOEL) of fuzzy rule-based systems (FRBSs) suffers from high computational costs, mainly because of the fitness evaluation. The use of a reduced set of representative instances in place of the overall training set (TS) would considerably lessen the computational effort. Even thoug... View full abstract»

• ### Fuzzy Time Series Forecasting With a Probabilistic Smoothing Hidden Markov Model

Publication Year: 2012, Page(s):291 - 304
Cited by:  Papers (17)
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Since its emergence, the study of fuzzy time series (FTS) has attracted more attention because of its ability to deal with the uncertainty and vagueness that are often inherent in real-world data resulting from inaccuracies in measurements, incomplete sets of observations, or difficulties in obtaining measurements under uncertain circumstances. The representation of fuzzy relations that are obtain... View full abstract»

• ### T–S Fuzzy Model Identification With a Gravitational Search-Based Hyperplane Clustering Algorithm

Publication Year: 2012, Page(s):305 - 317
Cited by:  Papers (53)
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In order to improve the performance of the fuzzy clustering algorithm in fuzzy space partition in the identification of the Takagi-Sugeno (T-S) fuzzy model, a hyperplane prototype fuzzy clustering model is proposed. To solve the clustering objective function, which could not be handled by the gradient method as the traditional clustering method fuzzy c-means does, a newly developed excellent globa... View full abstract»

• ### Exponential Stabilization for a Class of Nonlinear Parabolic PDE Systems via Fuzzy Control Approach

Publication Year: 2012, Page(s):318 - 329
Cited by:  Papers (33)
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This paper deals with the exponential stabilization problem for a class of nonlinear spatially distributed processes that are modeled by semilinear parabolic partial differential equations (PDEs), for which a finite number of actuators are used. A fuzzy control design methodology is developed for these systems by combining the PDE theory and the Takagi-Sugeno (T-S) fuzzy-model-based control techni... View full abstract»

• ### An Improved Input Delay Approach to Stabilization of Fuzzy Systems Under Variable Sampling

Publication Year: 2012, Page(s):330 - 341
Cited by:  Papers (69)
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In this paper, we investigate the problem of stabilization for sampled-data fuzzy systems under variable sampling. A novel Lyapunov-Krasovskii functional (LKF) is defined to capture the characteristic of sampled-data systems, and an improved input delay approach is proposed. By the use of an appropriate enlargement scheme, new stability and stabilization criteria are obtained in terms of linear ma... View full abstract»

• ### Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault

Publication Year: 2012, Page(s):342 - 357
Cited by:  Papers (284)
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This paper is focused on reliable fuzzy H∞ controller design for active suspension systems with actuator delay and fault. The Takagi-Sugeno (T-S) fuzzy model approach is adapted in this study with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances. By the utilization of the parallel-distributed compensa... View full abstract»

• ### A Fuzzy Approach for Multitype Relational Data Clustering

Publication Year: 2012, Page(s):358 - 371
Cited by:  Papers (24)
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Mining interrelated data among multiple types of objects or entities is important in many real-world applications. Despite extensive study on fuzzy clustering of vector space data, very limited exploration has been made on fuzzy clustering of relational data that involve several object types. In this paper, we propose a new fuzzy clustering approach for multitype relational data (FC-MR). In FC-MR,... View full abstract»

• ### A Fuzzy System Constructed by Rule Generation and Iterative Linear SVR for Antecedent and Consequent Parameter Optimization

Publication Year: 2012, Page(s):372 - 384
Cited by:  Papers (23)
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This paper proposes a new fuzzy regression model, i.e., the fuzzy system constructed by rule generation and iterative linear support vector regression (FS-RGLSVR) for structural risk minimization. The FS-RGLSVR is composed of Takagi-Sugeno (TS)-type fuzzy if-then rules. These rules are automatically constructed by a self-splitting rule generation algorithm that introduces the self-splitting techni... View full abstract»

• ### A Novel Algorithm for Finding Reducts With Fuzzy Rough Sets

Publication Year: 2012, Page(s):385 - 389
Cited by:  Papers (45)
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Attribute reduction is one of the most meaningful research topics in the existing fuzzy rough sets, and the approach of discernibility matrix is the mathematical foundation of computing reducts. When computing reducts with discernibility matrix, we find that only the minimal elements in a discernibility matrix are sufficient and necessary. This fact motivates our idea in this paper to develop a no... View full abstract»

• ### Solving Fuzzy Relational Equations Via Semitensor Product

Publication Year: 2012, Page(s):390 - 396
Cited by:  Papers (26)
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The problem of solving max-min fuzzy relational equations is investigated. First, we show that if there is a solution, then there is a corresponding solution within the set of parameters [briefly, the parameter set solution (PSS)]. Then, the semitensor product of matrices is used to convert the logical equations into algebraic equations via the vector expression of logical variables. Under this fo... View full abstract»

• ### On ${cal H}_{infty }$ Filtering for Discrete-Time Takagi–Sugeno Fuzzy Systems

Publication Year: 2012, Page(s):396 - 401
Cited by:  Papers (101)
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In this paper, we present a new design method for the H∞ filtering of discrete-time Takagi-Sugeno (TS) fuzzy systems. The parameters of the filter are assumed to be linearly dependent on the normalized fuzzy weighting functions. By using an augmentation technique, the design parameters are incorporated into a filtering error system. In order to derive less-conservative results an... View full abstract»

Publication Year: 2012, Page(s):402 - 403
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Publication Year: 2012, Page(s): 404
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• ### IEEE Computational Intelligence Society Information

Publication Year: 2012, Page(s): C3
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• ### IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2012, 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