Special Notice
IEEE Xplore is transitioning to HTTPS on 9 April 2018. Customer access via EZproxy will require version 6 or higher with TLS 1.1 or 1.2 enabled.
Review our EZproxy Upgrade Checklist to ensure uninterrupted access.

# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 25 of 25

Publication Year: 2009, Page(s): C1
| PDF (41 KB)
• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2009, Page(s): C2
| PDF (40 KB)
• ### Participatory Learning With Granular Observations

Publication Year: 2009, Page(s):1 - 13
Cited by:  Papers (13)
| | PDF (206 KB) | HTML

We introduce and discuss the participatory learning paradigm. A formal system implementing this type of learning agent is described. We then extend this system so that it can learn from interval-type observations. We further extend this system to the case when the observation is a more general granular object such as a fuzzy set. In the initial stage, while we allowed our observations to be granul... View full abstract»

• ### Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity

Publication Year: 2009, Page(s):14 - 23
Cited by:  Papers (181)
| | PDF (188 KB) | HTML

Consistency of preferences is related to rationality, which is associated with the transitivity property. Many properties suggested to model transitivity of preferences are inappropriate for reciprocal preference relations. In this paper, a functional equation is put forward to model the ldquocardinal consistency in the strength of preferencesrdquo of reciprocal preference relations.... View full abstract»

• ### Robust Control of an LUSM-Based $Xhbox{--}Yhbox{--}theta$ Motion Control Stage Using an Adaptive Interval Type-2 Fuzzy Neural Network

Publication Year: 2009, Page(s):24 - 38
Cited by:  Papers (26)
| | PDF (676 KB) | HTML

The robust control of a linear ultrasonic motor based X-Y-thetas motion control stage to track various contours is achieved by using an adaptive interval type-2 fuzzy neural network (AIT2FNN) control system in this study. In the proposed AIT2FNN control system, an IT2FNN, which combines the merits of an interval type-2 fuzzy logic system and a neural network, is developed to approximate an unknown... View full abstract»

• ### Modeling Human Activity From Voxel Person Using Fuzzy Logic

Publication Year: 2009, Page(s):39 - 49
Cited by:  Papers (57)
| | PDF (654 KB) | HTML

As part of an interdisciplinary collaboration on elder-care monitoring, a sensor suite for the home has been augmented with video cameras. Multiple cameras are used to view the same environment and the world is quantized into nonoverlapping volume elements (voxels). Through the use of silhouettes, a privacy protected image representation of the human acquired from multiple cameras, a 3-D represent... View full abstract»

• ### Fuzzy Subsethood for Fuzzy Sets of Type-2 and Generalized Type- ${n}$

Publication Year: 2009, Page(s):50 - 60
Cited by:  Papers (32)
| | PDF (402 KB) | HTML

In this paper, we use Zadeh's extension principle to extend Kosko's definition of the fuzzy subsethood measure S(G, H) to type-2 fuzzy sets defined on any set X equipped with a measure. Subsethood is itself a fuzzy set that is a crisp interval when G and H are interval type-2 sets. We show how to compute this interval and then use the result to compute subsethood for general type-2 fuzzy sets. A d... View full abstract»

• ### Practical Inference With Systems of Gradual Implicative Rules

Publication Year: 2009, Page(s):61 - 78
Cited by:  Papers (17)
| | PDF (698 KB) | HTML

A general approach to practical inference with gradual implicative rules and fuzzy inputs is presented. Gradual rules represent constraints restricting outputs of a fuzzy system for each input. They are tailored for interpolative reasoning. Our approach to inference relies on the use of inferential independence. It is based on fuzzy output computation under an interval-valued input. A double decom... View full abstract»

• ### Possibilistic Information Fusion Using Maximal Coherent Subsets

Publication Year: 2009, Page(s):79 - 92
Cited by:  Papers (27)
| | PDF (320 KB) | HTML

When multiple sources provide information about the same unknown quantity, their fusion into a synthetic interpretable message is often a tricky problem, especially when sources are conflicting. In this paper, we propose to use possibility theory and the notion of maximal coherent subsets (MCSs), often used in logic-based representations, to build a fuzzy belief structure that will be instrumental... View full abstract»

• ### A Method of Converting a Fuzzy System to a Two-Layered Hierarchical Fuzzy System and Its Run-Time Efficiency

Publication Year: 2009, Page(s):93 - 103
Cited by:  Papers (16)
| | PDF (556 KB) | HTML

In classical single-layer fuzzy systems (FSs), the number of rules and the run-time computational requirements increase exponentially with the number of input domains. In this paper, we present a method for converting a multidimensional FS to a two-layer hierarchical FS that reduces the number of rules and improves the run-time efficiency. The first layer of the two-layer system consists of FSs wh... View full abstract»

• ### Multiobjective Control for T–S Fuzzy Singularly Perturbed Systems

Publication Year: 2009, Page(s):104 - 115
Cited by:  Papers (54)
| | PDF (225 KB) | HTML

This paper investigates the problem of multiobjective control for a class of Takagi-Sugeno (T-S) fuzzy singularly perturbed systems. Based on a linear matrix inequality (LMI) approach, a state feedback controller that depends on the singular perturbation parameter epsiv is developed such that: 1) the H infin performance of the resulting closed-loop system is less than or equal to... View full abstract»

• ### Fuzzy Solutions to Partial Differential Equations: Adaptive Approach

Publication Year: 2009, Page(s):116 - 127
Cited by:  Papers (30)
| | PDF (266 KB) | HTML

A new technique using an adaptive fuzzy algorithm to obtain the solutions to a class of partial differential equations (PDEs) is presented. The design objective is to find a fuzzy solution to satisfy precisely the PDEs with boundary conditions. According to the adaptive scheme of fuzzy logic systems, a fuzzy solution with adjustable parameters for the PDE is first described. Then, a set of adaptiv... View full abstract»

• ### New Results on $H_{infty}$ Filtering for Fuzzy Time-Delay Systems

Publication Year: 2009, Page(s):128 - 137
Cited by:  Papers (50)
| | PDF (196 KB) | HTML

This paper is concerned with the H infin fuzzy filtering problem for a class of continuous-time fuzzy systems with time-varying delays. The objective is to design a stable filter guaranteeing the asymptotic stability and a prescribed H infin performance of the filtering error system. Motivated by the parallel distributed compensation technique, we design a new f... View full abstract»

• ### FR3: A Fuzzy Rule Learner for Inducing Reliable Classifiers

Publication Year: 2009, Page(s):138 - 149
Cited by:  Papers (52)
| | PDF (555 KB) | HTML

This paper introduces a fuzzy-rule-based classification method called fuzzy round robin [repeated incremental pruning to produce error reduction (RIPPER)] (FR3). As the name suggests, FR3 builds upon the RIPPER algorithm, a state-of-the-art rule learner. More specifically, in the context of polychotomous classification, it uses a fuzzy extension of RIPPER as a base learner within a round robin sch... View full abstract»

• ### On the Estimation of Parameters of Takagi–Sugeno Fuzzy Filters

Publication Year: 2009, Page(s):150 - 166
Cited by:  Papers (9)
| | PDF (685 KB) | HTML

This study derives a class of filtering algorithms for Takagi-Sugeno fuzzy models via solving a nonlinear parameters estimation problem. The considered estimation problem is related to the problem of minimizing the expected value of the exponential of filtering errors energy. Under some stochastic assumptions, the filtering criteria (which involve an expectation operator) are replaced by the deter... View full abstract»

• ### Level-Dependent Sugeno Integral

Publication Year: 2009, Page(s):167 - 172
Cited by:  Papers (15)
| | PDF (155 KB) | HTML

In this paper, a new concept of level-dependent Sugeno integral is introduced, and it is used to represent comonotone maxitive aggregation functions acting on a complete scale K. The relationship between the level-dependent Sugeno integral and some other types of fuzzy integrals is shown, and properties of the level-dependent Sugeno integral are discussed. Several examples show that the level-depe... View full abstract»

• ### From Minimum Enclosing Ball to Fast Fuzzy Inference System Training on Large Datasets

Publication Year: 2009, Page(s):173 - 184
Cited by:  Papers (30)
| | PDF (525 KB) | HTML

While fuzzy inference systems (FISs) have been extensively studied in the past decades, the minimum enclosing ball (MEB) problem was recently introduced to develop fast and scalable methods in pattern classification and machine learning. In this paper, the relationship between these two apparently different data modeling techniques is explored. First, based on the reduced-set density estimator, a ... View full abstract»

• ### Detection and Discrimination of Land Mines in Ground-Penetrating Radar Based on Edge Histogram Descriptors and a Possibilistic $K$-Nearest Neighbor Classifier

Publication Year: 2009, Page(s):185 - 199
Cited by:  Papers (54)
| | PDF (2505 KB) | HTML

This paper describes an algorithm for land mine detection using sensor data generated by a ground-penetrating radar (GPR) system that uses edge histogram descriptors for feature extraction and a possibilistic K -nearest neighbors (K-NNs) rule for confidence assignment. The algorithm demonstrated the best performance among several high-performance algorithms in extensive testing on a ... View full abstract»

• ### How to Make $T$-Transitive a Proximity Relation

Publication Year: 2009, Page(s):200 - 207
Cited by:  Papers (10)
| | PDF (184 KB) | HTML

Three ways to approximate a proximity relation R (i.e., a reflexive and symmetric fuzzy relation) by a T -transitive one where T is a continuous Archimedean t-norm are given. The first one aggregates the transitive closure R macr of R with a (maximal) T-transitive relation B contained in R . The second one computes the closest h... View full abstract»

• ### A Possibilistic Approach to String Comparison

Publication Year: 2009, Page(s):208 - 223
Cited by:  Papers (6)
| | PDF (1054 KB) | HTML

In this paper, comparison of strings is tackled from a possibilistic point of view. Instead of using the concept of similarity between strings, coreference between strings is adopted. The possibility of coreference is estimated by means of a possibilistic comparison operator. In literature, two important classes of comparison methods for strings have been distinguished: character-based methods and... View full abstract»

• ### Robust $H_infty$ Control for Discrete-Time Fuzzy Systems With Infinite-Distributed Delays

Publication Year: 2009, Page(s):224 - 232
Cited by:  Papers (41)
| | PDF (386 KB) | HTML

This paper is concerned with the robust H infin control problem for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with time delays and uncertain parameters. The time delay is assumed to be infinitely distributed in the discrete-time domain, and the uncertain parameters are norm-bounded. By using the linear matrix inequality (LMI) technique, sufficient conditions are ... View full abstract»

• ### Fuzzy Filter Design for ItÔ Stochastic Systems With Application to Sensor Fault Detection

Publication Year: 2009, Page(s):233 - 242
Cited by:  Papers (216)
| | PDF (278 KB) | HTML

The paper deals with the robust fault detection problem for Takagi-Sugeno (T-S) fuzzy Ito stochastic systems. Our aim is to develop a robust fault detection approach to the T-S fuzzy systems with Brownian motion. By using a general observer-based fault detection filter as a residual generator, the robust fault detection is formulated as a filtering problem. Attention is focused on the design of bo... View full abstract»

• ### Density-Weighted Fuzzy c-Means Clustering

Publication Year: 2009, Page(s):243 - 252
Cited by:  Papers (20)
| | PDF (307 KB) | HTML

In this short paper, a unified framework for performing density-weighted fuzzy c-means (FCM) clustering of feature and relational datasets is presented. The proposed approach consists of reducing the original dataset to a smaller one, assigning each selected datum a weight reflecting the number of nearby data, clustering the weighted reduced dataset using a weighted version of the feature or relat... View full abstract»

• ### IEEE Computational Intelligence Society Information

Publication Year: 2009, Page(s): C3
| PDF (37 KB)
• ### IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2009, 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