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# IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 20 of 20

Publication Year: 2011, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2011, Page(s): C2
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• ### TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups

Publication Year: 2011, Page(s):1 - 12
Cited by:  Papers (62)
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In this paper, we present a new method to forecast the daily Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) based on fuzzy time series and fuzzy variation groups, where the main input factor is the previous day's TAIEX, and the secondary factor is either the Dow Jones, the NASDAQ, the M 1b, or their combination. First, the proposed method fuzzifies the historical trai... View full abstract»

• ### Selecting the Individual Numerical Scale and Prioritization Method in the Analytic Hierarchy Process: A 2-Tuple Fuzzy Linguistic Approach

Publication Year: 2011, Page(s):13 - 25
Cited by:  Papers (57)
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The validity of the priority vector used in the analytic hierarchy process (AHP) relies on two factors: the selection of a numerical scale and the selection of a prioritization method. The traditional AHP selects only one numerical scale (e.g., the Saaty scale) and one prioritization method (e.g., the eigenvector method) for each particular problem. For this traditional selection approach, there i... View full abstract»

• ### A Robust Automatic Merging Possibilistic Clustering Method

Publication Year: 2011, Page(s):26 - 41
Cited by:  Papers (20)
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Krishnapuram and Keller [IEEE Trans. Fuzzy Syst., vol. 1, no. 2, pp. 98-110, May 1993] proposed a possibilistic c-means (PCM) clustering by relaxing the constraint in fuzzy c-means (FCMs) that the memberships of a data point across classes sum to 1. The PCM algorithm has a tendency to produce coincident clusters. This can be a merit of PCM as a good mode-seeking algorithm if initials... View full abstract»

• ### The Ordered Modular Averages

Publication Year: 2011, Page(s):42 - 50
Cited by:  Papers (28)
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Ordered modular averages (OMAs) generalize ordered weighted averages operators, with the replacement of the additivity property by the modularity. OMAs can be seen as a symmetrized idempotent modular aggregation functions, characterized by comonotone modularity. Each OMA can be seen also as a copula-based integral with respect to a symmetric capacity. Special OMAs are characterized, such as associ... View full abstract»

• ### Systems Control With Generalized Probabilistic Fuzzy-Reinforcement Learning

Publication Year: 2011, Page(s):51 - 64
Cited by:  Papers (13)
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Reinforcement learning (RL) is a valuable learning method when the systems require a selection of control actions whose consequences emerge over long periods for which input-output data are not available. In most combinations of fuzzy systems and RL, the environment is considered to be deterministic. In many problems, however, the consequence of an action may be uncertain or stochastic in nature. ... View full abstract»

• ### Piecewise Integral Sliding-Mode Control for T–S Fuzzy Systems

Publication Year: 2011, Page(s):65 - 74
Cited by:  Papers (26)
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This paper addresses the issue of piecewise integral sliding-mode control (ISMC) for the Takagi-Sugeno (T-S) fuzzy systems. ISMC is chosen to stabilize the T-S fuzzy system because of its superior capability in treating uncertainties. Individual integral sliding surfaces are designed in different operating regions of the T-S fuzzy system. Conditions on the existence of the sliding mode in the asso... View full abstract»

• ### Nonsynchronized-State Estimation of Multichannel Networked Nonlinear Systems With Multiple Packet Dropouts Via T–S Fuzzy-Affine Dynamic Models

Publication Year: 2011, Page(s):75 - 90
Cited by:  Papers (54)
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This paper investigates the problem of robust H∞ state estimation for a class of multichannel networked nonlinear systems with multiple packet dropouts. The nonlinear plant is represented by Takagi-Sugeno (T-S) fuzzy-affine dynamic models with norm-bounded uncertainties, and stochastic variables with general probability distributions are adopted to characterize the data mi... View full abstract»

• ### Multivariable Gaussian Evolving Fuzzy Modeling System

Publication Year: 2011, Page(s):91 - 104
Cited by:  Papers (56)
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This paper introduces a class of evolving fuzzy rule-based system as an approach for multivariable Gaussian adaptive fuzzy modeling. The system is an evolving Takagi-Sugeno (eTS) functional fuzzy model, whose rule base can be continuously updated using a new recursive clustering algorithm based on participatory learning. The fuzzy sets of the rule antecedents are multivariable Gaussian membership ... View full abstract»

• ### A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises

Publication Year: 2011, Page(s):105 - 115
Cited by:  Papers (81)
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The support vector machine (SVM) has provided higher performance than traditional learning machines and has been widely applied in real-world classification problems and nonlinear function estimation problems. Unfortunately, the training process of the SVM is sensitive to the outliers or noises in the training set. In this paper, a common misunderstanding of Gaussian-function-based kernel fuzzy cl... View full abstract»

• ### An Extension to Fuzzy Cognitive Maps for Classification and Prediction

Publication Year: 2011, Page(s):116 - 135
Cited by:  Papers (23)
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Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and manipulation of complex systems, can be used to model the dynamic behavior of the investigated systems. However, due to defects in expression and architecture, the traditional FCMs and most of their relevant extensions are not applicable to classification problems. To solve this problem, this paper presents an... View full abstract»

• ### Linguistic Summarization Using IF–THEN Rules and Interval Type-2 Fuzzy Sets

Publication Year: 2011, Page(s):136 - 151
Cited by:  Papers (54)
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Linguistic summarization (LS) is a data mining or knowledge discovery approach to extract patterns from databases. Many authors have used this technique to generate summaries like “Most senior workers have high salary,” which can be used to better understand and communicate about data; however, few of them have used it to generate IF-THEN rules like “IF X is large and <... View full abstract»

• ### LDA-Based Clustering Algorithm and Its Application to an Unsupervised Feature Extraction

Publication Year: 2011, Page(s):152 - 163
Cited by:  Papers (23)
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Research has shown fuzzy c-means (FCM) clustering to be a powerful tool to partition samples into different categories. However, the objective function of FCM is based only on the sum of distances of samples to their cluster centers, which is equal to the trace of the within-cluster scatter matrix. In this study, we propose a clustering algorithm based on both within- and between-cluster scatter m... View full abstract»

• ### Performance Analysis of Service Composition Based on Fuzzy Differential Equations

Publication Year: 2011, Page(s):164 - 178
Cited by:  Papers (6)
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In this paper, a new method is proposed to measure the performance of service composition. Service composition described with Business Process Execution Language (BPEL) is modeled by a group of fuzzy differential equations, where each equation describes the state change of the service composition. Each service state is measured by a time-dependent fuzzy number that indicates the extent to which th... View full abstract»

• ### On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems

Publication Year: 2011, Page(s):179 - 192
Cited by:  Papers (54)
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This paper studies the continuity of the input-output mappings of fuzzy logic systems (FLSs), including both type-1 (T1) and interval type-2 (IT2) FLSs. We show that a T1 FLS being an universal approximator is equivalent to saying that a T1 FLS has a continuous input-output mapping. We also derive the condition under which a T1 FLS is discontinuous. For IT2 FLSs, we consider six type-reduction and... View full abstract»

• ### New Results on $H_infty$ Filter Design for Nonlinear Systems With Time Delay via T–S Fuzzy Models

Publication Year: 2011, Page(s):193 - 199
Cited by:  Papers (39)
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This paper focuses on the problem of designing H∞ filters for nonlinear systems with time-varying delay via Takagi-Sugeno (T-S) fuzzy models. Some new results on H∞ filter design are proposed by estimating the upper bounds of the derivatives of Lyapunov functionals without ignoring some useful terms, which improve the existing ones. In addition, a sufficient con... View full abstract»

Publication Year: 2011, Page(s): 200
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• ### IEEE Computational Intelligence Society Information

Publication Year: 2011, Page(s): C3
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• ### IEEE Transactions on Fuzzy Systems Information for authors

Publication Year: 2011, 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