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# IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 25 of 25
• ### Table of contents

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

Publication Year: 2011, Page(s): C2
| PDF (42 KB)
• ### Computing the centroid of a general type-2 fuzzy set by means of the centroid-flow algorithm

Publication Year: 2011, Page(s):401 - 422
Cited by:  Papers (40)
| | PDF (2652 KB) | HTML

Previous studies have shown that the centroid of a general type-2 fuzzy set (T2 FS) Ã can be obtained by taking the union of the centroids of all the α-planes (each raised to level α) of Ã. Karnik-Mendel (KM) or the enhanced KM (EKM) algorithms are used to compute the centroid of each α-plane. The iterative features in KM/EKM algorithms can be time-consuming, e... View full abstract»

• ### Stability Analysis of Recurrent Fuzzy Systems: A Hybrid System and SOS Approach

Publication Year: 2011, Page(s):423 - 431
Cited by:  Papers (12)
| | PDF (609 KB) | HTML

This paper presents a new approach to the stability analysis of recurrent fuzzy systems (RFSs). RFSs are rule-based dynamic fuzzy systems that are usually obtained from heuristic or data-driven modeling. In the presented approach, the stability of both continuous-time and discrete-time RFS can be analyzed in a common framework. It is based on the representation of an RFS as a hybrid polynomial sys... View full abstract»

• ### A Tabu–Harmony Search-Based Approach to Fuzzy Linear Regression

Publication Year: 2011, Page(s):432 - 448
Cited by:  Papers (25)
| | PDF (1406 KB) | HTML

We propose an unconstrained global continuous optimization method based on tabu search and harmony search to support the design of fuzzy linear regression (FLR) models. Tabu and harmony search strategies are used for diversification and intensification of FLR, respectively. The proposed approach offers the flexibility to use any kind of an objective function based on client's requirements or reque... View full abstract»

• ### A New Methodology for the Online Adaptation of Fuzzy Self-Structuring Controllers

Publication Year: 2011, Page(s):449 - 464
Cited by:  Papers (21)
| | PDF (1015 KB) | HTML

In this study, a novel fuzzy controller, which is able to self-design from scratch, while working online, is proposed. The controller does not use the information regarding the differential equations that govern the plant's behavior or any of their bounds. The algorithm presented is able to determine the most-adequate topology for the fuzzy controller based on the data obtained during the system's... View full abstract»

• ### Application of Fuzzy Sets to Aggregate Production Planning With Multiproducts and Multitime Periods

Publication Year: 2011, Page(s):465 - 477
Cited by:  Papers (12)
| | PDF (679 KB) | HTML

The objective of this study is to develop a fuzzy mathematical programming method to solve aggregate production planning (APP) decision problems that involve multiproducts and multitime periods in a fuzzy environment. The fuzzy APP model that is developed here attempts to minimize total cost with respect to inventory carrying levels, available labor levels, machine capacity and warehouse space, an... View full abstract»

• ### Relaxed Stability Conditions for Continuous-Time T–S Fuzzy-Control Systems Via Augmented Multi-Indexed Matrix Approach

Publication Year: 2011, Page(s):478 - 492
Cited by:  Papers (97)
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This paper is concerned with the problem of developing an advanced strategy to reduce the conservatism in stability analysis and control synthesis of continuous-time Takagi-Sugeno (T-S) fuzzy systems. A novel augmented multi-indexed matrix approach is proposed to implement new right-hand-side slack variables technique for the homogenous polynomial setting. Combining with the Finsler lemma with hom... View full abstract»

• ### Observer-Based T–S Fuzzy Control for a Class of General Nonaffine Nonlinear Systems Using Generalized Projection-Update Laws

Publication Year: 2011, Page(s):493 - 504
Cited by:  Papers (21)
| | PDF (954 KB) | HTML

In this paper, we propose an online observer-based Takagi-Sugeno (T-S) fuzzy-output tracking-control technique and an improved generalized projection-update law for a class of general nonaffine nonlinear systems with unknown functions and external disturbances. First, a T-S fuzzy model and a mean-value estimation technique are adopted to approximate a so-called virtual linearized system (VLS) of a... View full abstract»

• ### LMI-Based Stability Analysis for Fuzzy-Model-Based Control Systems Using Artificial T–S Fuzzy Model

Publication Year: 2011, Page(s):505 - 513
Cited by:  Papers (71)
| | PDF (405 KB) | HTML

This paper investigates the stability of fuzzy-model-based (FMB) control systems. An alternative stability-analysis approach using an artificial fuzzy system based on the Lyapunov stability theory is proposed. To facilitate the stability analysis, the continuous membership functions of the Takagi-Sugeno (T-S) fuzzy model are represented by the staircase ones. With the nice property of the staircas... View full abstract»

• ### Distributed Fuzzy Control Design of Nonlinear Hyperbolic PDE Systems With Application to Nonisothermal Plug-Flow Reactor

Publication Year: 2011, Page(s):514 - 526
Cited by:  Papers (34)
| | PDF (686 KB) | HTML

This paper considers the problem of fuzzy control design for a class of nonlinear distributed parameter systems that is described by first-order hyperbolic partial differential equations (PDEs), where the control actuators are continuously distributed in space. The goal of this paper is to develop a fuzzy state-feedback control design methodology for these systems by employing a combination of PDE... View full abstract»

• ### Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization With an Allocation of Information Granularity

Publication Year: 2011, Page(s):527 - 539
Cited by:  Papers (92)
| | PDF (1400 KB) | HTML

In group decision making, one strives to reconcile differences of opinions (judgments) expressed by individual members of the group. Fuzzy-decision-making mechanisms bring a great deal of flexibility. By admitting membership degrees, we are offered flexibility to exploit different aggregation mechanisms and navigate a process of interaction among decision makers to achieve an increasing level of c... View full abstract»

• ### Bisimulations for Fuzzy-Transition Systems

Publication Year: 2011, Page(s):540 - 552
Cited by:  Papers (19)
| | PDF (528 KB) | HTML

There has been a long history of using fuzzy-language equivalence to compare the behavior of fuzzy systems; however, the comparison at this level is too coarse. Recently, a finer behavioral measure, i.e., bisimulation, has been introduced to fuzzy-finite automata. However, the results obtained are applicable only to finite-state systems. In this paper, we consider bisimulation for general fuzzy sy... View full abstract»

• ### T–S Fuzzy Model-Based Robust Stabilization for Networked Control Systems With Probabilistic Sensor and Actuator Failure

Publication Year: 2011, Page(s):553 - 561
Cited by:  Papers (53)
| | PDF (632 KB) | HTML

The system studied in this paper has four main features: 1) It is a networked controlled system (NCS), and therefore, the signal transfer is subject to random delay and/or loss; 2) it is a nonlinear system approximated by a Takegi--Sugeno (T-S) fuzzy model; 3) its multisensors and multiactuators are subject to various possible faults/failures; and 4) there are uncertainties in the plant model para... View full abstract»

• ### Learning Choquet-Integral-Based Metrics for Semisupervised Clustering

Publication Year: 2011, Page(s):562 - 574
Cited by:  Papers (24)
| | PDF (1305 KB) | HTML

We consider an application of fuzzy measures to the problem of metric learning in semisupervised clustering. We investigate the necessary and sufficient conditions on the underlying fuzzy measure that make the discrete Choquet integral suitable for defining a metric. As a byproduct, we can obtain the analogous conditions for the ordered-weighted-averaging (OWA) operators, which constitute a specia... View full abstract»

• ### Template-Based Shell Clustering Using a Line-Segment Representation of Data

Publication Year: 2011, Page(s):575 - 580
Cited by:  Papers (2)
| | PDF (579 KB) | HTML

This paper presents the algorithms and experimental results for template-based shell clustering when the datasets are represented by line segments. Compared with point datasets, such representations have several advantages, which include better scalability and noise immunity, as well as the availability of orientation information. Using both synthetic and real-world image datasets, we have experim... View full abstract»

• ### A Cluster-Validity Index Combining an Overlap Measure and a Separation Measure Based on Fuzzy-Aggregation Operators

Publication Year: 2011, Page(s):580 - 588
Cited by:  Papers (20)
| | PDF (611 KB) | HTML

Since a clustering algorithm can produce as many partitions as desired, one needs to assess their quality in order to select the partition that most represents the structure in the data, if there is any. This is the rationale for the cluster-validity (CV) problem and indices. This paper presents a CV index that helps to find the optimal number of clusters of data from partitions generated by a fuz... View full abstract»

• ### Polynomial Fuzzy-Model-Based Control Systems: Stability Analysis Via Piecewise-Linear Membership Functions

Publication Year: 2011, Page(s):588 - 593
Cited by:  Papers (81)
| | PDF (407 KB) | HTML

This paper presents the stability analysis of polynomial fuzzy-model-based (PFMB) control systems using the sum-of-squares (SOS) approach. The PFMB control system under consideration requires that the polynomial fuzzy model and polynomial fuzzy controller share neither the same premise membership functions nor the same number of fuzzy rules. This class of PFMB control systems offers a greater desi... View full abstract»

• ### Further Theoretical Justification of the $k$ -Samples Variation Approach for Discrete-Time Takagi–Sugeno Fuzzy Systems

Publication Year: 2011, Page(s):594 - 597
Cited by:  Papers (11)
| | PDF (269 KB) | HTML

The recently developed k-samples variation approach is known as a powerful way to reduce the conservativeness of existing stability and stabilization conditions for discrete-time Takagi-Sugeno (T-S) fuzzy systems. In this approach, the Lyapunov functions under consideration are not necessarily decreasing at every sample but are allowed to decrease every k samples, which is evidently ... View full abstract»

• ### Comments on "Constrained Infinite-Horizon Model Predictive Control for Fuzzy-Discrete-Time Systems

Publication Year: 2011, Page(s):598 - 600
Cited by:  Papers (1)
| | PDF (166 KB) | HTML

This letter points out the errors in a previous paper by the authors (IEEE Trans. Fuzzy Syst., vol. 18, no. 2, pp. 429-436, Apr. 2010). An improved result is given. View full abstract»

• ### Rebuttal to Comments on “Constrained Infinite-Horizon Model Predictive Control for Fuzzy-Discrete-Time Systems”

Publication Year: 2011, Page(s):601 - 602
| | PDF (141 KB) | HTML

In “Comments on Constrained Infinite-Horizon Model Predictive Control for Fuzzy-Discrete-Time Systems” (IEEE Trans. Fuzzy Syst.), Ding criticized that the application of Lyapunov method, the handling of the output constraint, and the resultant linear-matrix-inequality-optimization problem are incorrect in IEEE Trans. Fuzzy Syst. , vol. 18, no. 2, pp. 429-436, Apr. 2010. This rebuttal... View full abstract»

• ### Special issue on advances in type-2 fuzzy sets and systems

Publication Year: 2011, Page(s): 603
| PDF (133 KB)
• ### IEEE Foundation [advertisement]

Publication Year: 2011, Page(s): 604
| PDF (320 KB)
• ### IEEE Computational Intelligence Society Information

Publication Year: 2011, Page(s): C3
| PDF (37 KB)
• ### IEEE Transactions on Fuzzy Systems Information for authors

Publication Year: 2011, Page(s): C4
| PDF (29 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