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IEEE Transactions on Fuzzy Systems

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Publication Year: 2013, Page(s): C1
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• IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2013, Page(s): C2
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• An Improved Estimation Method for Unmodeled Dynamics Based on ANFIS and Its Application to Controller Design

Publication Year: 2013, Page(s):989 - 1005
Cited by:  Papers (6)
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By representing nonlinear systems as a combination of linear part and unmodeled dynamics, in this paper, an improved estimation algorithm using an adaptive neuro-fuzzy inference system (ANFIS) for unmodeled dynamics is presented. At first, the unmodeled dynamics is divided into two parts using the differential expansion of the control input at the last time instant; then, the two parts are estimat... View full abstract»

• Linguistic Computational Model Based on 2-Tuples and Intervals

Publication Year: 2013, Page(s):1006 - 1018
Cited by:  Papers (47)
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Herrera and Martínez initiated a 2-tuple fuzzy linguistic representation model for computing with words. Moreover, Wang and Hao further developed a new 2-tuple fuzzy linguistic representation model to deal with the linguistic term sets that are not uniformly and symmetrically distributed. This study proposes another linguistic computational model based on 2-tuples and intervals, which we c... View full abstract»

• Dynamic Fuzzy Clustering and Its Application in Motion Segmentation

Publication Year: 2013, Page(s):1019 - 1031
Cited by:  Papers (12)
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Dynamic textures are common in natural scenes and have recently received great attention in video content analysis. A dynamic fuzzy clustering to automatically segment time-varying characteristics and phenomena is presented in this paper. First, compared with the existing models that assume a common prior distribution, which independently generates the labels, the prior distribution in our model i... View full abstract»

• Hierarchical Structured Sparse Representation for T–S Fuzzy Systems Identification

Publication Year: 2013, Page(s):1032 - 1043
Cited by:  Papers (12)
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“The curse of dimensionality” has become a significant bottleneck for fuzzy system identification and approximation. In this paper, we cast the Takagi-Sugeno (T-S) fuzzy system identification into a hierarchical sparse representation problem, where our goal is to establish a T-S fuzzy system with a minimal number of fuzzy rules, which simultaneously have a minimal number of nonzero c... View full abstract»

• Intelligent Hybrid Control System Design for Antilock Braking Systems Using Self-Organizing Function-Link Fuzzy Cerebellar Model Articulation Controller

Publication Year: 2013, Page(s):1044 - 1055
Cited by:  Papers (18)
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An antilock braking system (ABS) is designed to maximize wheel traction by preventing the wheels from locking during braking, while also maintaining an adequate ability to steer the vehicle. However, the performance of ABS is often degraded under harsh road conditions. In this paper, a self-organizing function-link fuzzy cerebellar model articulation controller (SOFFC) is proposed and is used as t... View full abstract»

• Simplified Interval Type-2 Fuzzy Logic Systems

Publication Year: 2013, Page(s):1056 - 1069
Cited by:  Papers (42)
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Type reduction (TR) followed by defuzzification is commonly used in interval type-2 fuzzy logic systems (IT2 FLSs). Because of the iterative nature of TR, it may be a computational bottleneck for the real-time applications of an IT2 FLS. This has led to many direct approaches to defuzzification that bypass TR, the simplest of which is the Nie-Tan direct defuzzification method (NT method). This pap... View full abstract»

• Statistical Inference of Rough Set Dependence and Importance Analysis

Publication Year: 2013, Page(s):1070 - 1079
Cited by:  Papers (1)
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Statistical inference about dependence degree (DD) and importance degree (ID) of variables in an information system is crucial for variables appraisement and model reconstruction. However, in rough set data analysis (RSDA), the literature is restricted to validate independence or test whether the degree is significantly big, while the fixed value test and interval estimation for related measuremen... View full abstract»

• A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems

Publication Year: 2013, Page(s):1080 - 1095
Cited by:  Papers (52)
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In this paper, we present a metacognitive sequential learning algorithm for a neuro-fuzzy inference system for classification tasks, which is referred to as a “metacognitive neuro-fuzzy inference system (McFIS).” The McFIS learning algorithm is developed based on the principles of the best human learning strategy, viz., a self-regulatory learning strategy in a metacognitive framework... View full abstract»

• Strongest Strong Cycles and $theta$-Fuzzy Graphs

Publication Year: 2013, Page(s):1096 - 1104
Cited by:  Papers (6)
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In this paper, new concepts are introduced to enhance the process of block identification in fuzzy graphs. Since reduction in the strength of the connectedness between two nodes occurs more frequently than total disconnection of a network, block identification in fuzzy graph networks is very important. A special type of cycle, which is called a strongest strong cycle, and a new connectivity parame... View full abstract»

• Functional Machine With Takagi–Sugeno Inference to Coordinated Movement in Underwater Vehicle-Manipulator Systems

Publication Year: 2013, Page(s):1105 - 1114
Cited by:  Papers (2)
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This paper investigates the viability of applying a functional machine with a fuzzy approach for redundancy resolution to an autonomous underwater vehicle-manipulator system (UVMS). The functional machine is constructed by a linear combination of sigmoidal functions, with a topology similar to the perceptron, and its inference is developed by fuzzy logic. The proposed algorithm generates a desired... View full abstract»

• Human Reliability Evaluation for Offshore Platform Musters Using Intuitionistic Fuzzy Sets

Publication Year: 2013, Page(s):1115 - 1122
Cited by:  Papers (8)
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This study describes a new approach, i.e., the intuitionistic fuzzy success index method, for human reliability estimation using intuitionistic fuzzy sets. In our study, two offshore platform muster scenarios, i.e., “man overboard” and “gas release,” were considered as an assessing and a reference task, respectively. Herein, we aggregated the weightings and ratings of v... View full abstract»

• Enhanced Adaptive Fuzzy Control With Optimal Approximation Error Convergence

Publication Year: 2013, Page(s):1123 - 1132
Cited by:  Papers (50)
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In this paper, an enhanced adaptive fuzzy control (AFC) strategy with guaranteed convergence of an optimal fuzzy approximation error (FAE) is presented for a class of uncertain nonlinear systems in the general Brunovsky form. Based on the fuzzy logic system (FLS) with variable universes of discourse, relaxed sufficient conditions that guarantee the optimal FAE being convergent are given, and the u... View full abstract»

• FINGRAMS: Visual Representations of Fuzzy Rule-Based Inference for Expert Analysis of Comprehensibility

Publication Year: 2013, Page(s):1133 - 1149
Cited by:  Papers (15)
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Since Zadeh's proposal and Mamdani's seminal ideas, interpretability is acknowledged as one of the most appreciated and valuable characteristics of fuzzy system identification methodologies. It represents the ability of fuzzy systems to formalize the behavior of a real system in a human understandable way, by means of a set of linguistic variables and rules with a high semantic expressivity close ... View full abstract»

• A New Approach to Interval-Valued Choquet Integrals and the Problem of Ordering in Interval-Valued Fuzzy Set Applications

Publication Year: 2013, Page(s):1150 - 1162
Cited by:  Papers (60)
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We consider the problem of choosing a total order between intervals in multiexpert decision making problems. To do so, we first start researching the additivity of interval-valued aggregation functions. Next, we briefly treat the problem of preserving admissible orders by linear transformations. We study the construction of interval-valued ordered weighted aggregation operators by means of admissi... View full abstract»

• Defuzzification Functionals of Ordered Fuzzy Numbers

Publication Year: 2013, Page(s):1163 - 1169
Cited by:  Papers (5)
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Defuzzification functionals, which play the main role when dealing with fuzzy controllers and fuzzy inference systems, for convex as well for ordered fuzzy numbers, are discussed. Three characteristic conditions for them are formulated. It is shown that most of the known defuzzification functionals satisfy them. Motivations for introducing the extended class of convex fuzzy numbers are presented, ... View full abstract»

• A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks

Publication Year: 2013, Page(s):1170 - 1175
Cited by:  Papers (9)
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We discuss a new formulation of a fuzzy validity index that generalizes the Newman-Girvan (NG) modularity function. The NG function serves as a cluster validity functional in community detection studies. The input data is an undirected weighted graph that represents, e.g., a social network. Clusters correspond to socially similar substructures in the network. We compare our fuzzy modularity with t... View full abstract»

• Special issue on neural networks and learning systems applications in smart grid

Publication Year: 2013, Page(s): 1176
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• 2013 Index IEEE Transactions on Fuzzy Systems Vol. 21

Publication Year: 2013, Page(s):1177 - 1191
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• IEEE Computational Intelligence Society Information

Publication Year: 2013, Page(s): C3
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• IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2013, 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.

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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