Notice

# IEEE Transactions on Fuzzy Systems

## Issue 5 • Oct. 2017

The purchase and pricing options are temporarily unavailable. Please try again later.

## Filter Results

Displaying Results 1 - 25 of 34

Publication Year: 2017, Page(s):C1 - C4
| PDF (43 KB)
• ### IEEE Transactions on Fuzzy Systems

Publication Year: 2017, Page(s): C2
| PDF (64 KB)
• ### Lotfi A. Zadeh In Memoriam

Publication Year: 2017, Page(s):1021 - 1022
| PDF (772 KB) | HTML
• ### A Unification of Intuitionistic Fuzzy Calculus Theories Based on Subtraction Derivatives and Division Derivatives

Publication Year: 2017, Page(s):1023 - 1040
| | PDF (1312 KB) | HTML

Intuitionistic fuzzy calculus replaces real numbers in classical calculus with intuitionistic fuzzy numbers that are the basic elements of Atanassov's intuitionistic fuzzy sets. Intuitionistic fuzzy calculus consists of two parallel parts, which are respectively developed based on the subtraction derivatives and the division derivatives. This paper focuses on building the relationships betw... View full abstract»

• ### Hybrid Fuzzy Adaptive Fault-Tolerant Control for a Class of Uncertain Nonlinear Systems With Unmeasured States

Publication Year: 2017, Page(s):1041 - 1050
| | PDF (1242 KB) | HTML

In this paper, a hybrid adaptive output feedback fault-tolerant control is investigated for a class of uncertain nonlinear systems with unmeasured states. The generalized fuzzy hyperbolic model is used to approximate the unknown nonlinear functions, and the fuzzy state estimator (FSE) is established for estimating the unmeasured states. Based on the backstepping and dynamic surface control techniq... View full abstract»

• ### Fuzzy Fault Detection Filter Design for T–S Fuzzy Systems in the Finite-Frequency Domain

Publication Year: 2017, Page(s):1051 - 1061
| | PDF (1108 KB) | HTML

This paper deals with the fault detection filter design for a nonlinear discrete-time system in the Takagi–Sugeno fuzzy form with faults and unknown inputs. Both unknown input and fault frequencies are assumed to be known and to reside in low-/middle-/high-frequency ranges. A filter is proposed in the finite-frequency domain to reduce the conservatism generated by those designed in the enti... View full abstract»

• ### Adaptive Fuzzy Hierarchical Sliding-Mode Control for a Class of MIMO Nonlinear Time-Delay Systems With Input Saturation

Publication Year: 2017, Page(s):1062 - 1077
| | PDF (677 KB) | HTML

In this paper, an adaptive fuzzy hierarchical sliding-mode control method for a class of multiinput multioutput unknown nonlinear time-delay systems with input saturation is proposed. The studied system is first transformed into an equivalent system. Subsequently, based on sliding-mode control technology and the concept of hierarchical design, a set of adaptive fuzzy hierarchical sliding-mode cont... View full abstract»

• ### Improving Supervised Learning Classification Methods Using Multigranular Linguistic Modeling and Fuzzy Entropy

Publication Year: 2017, Page(s):1078 - 1089
| | PDF (542 KB) | HTML

Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process play a very important role in achieving this objective. Therefore, it is important to represent the data in a way that best expresses its meaning. For this purpose, we propose to apply lin... View full abstract»

• ### Backstepping Fuzzy Adaptive Control for a Class of Quantized Nonlinear Systems

Publication Year: 2017, Page(s):1090 - 1101
| | PDF (813 KB) | HTML

This paper proposes a new adaptive controller for a class of uncertain nonlinear systems with a quantized signal. Fuzzy logic systems are utilized to approximate nonlinear terms without imposing prior matching conditions required. A hysteretic type of quantizer is incorporated to reduce chattering. A new adaptive backstepping controller is designed to guarantee that the underlying uncertain nonlin... View full abstract»

• ### Inference and Learning in Evidential Discrete Latent Markov Models

Publication Year: 2017, Page(s):1102 - 1114
| | PDF (633 KB) | HTML

We present the Evidential Hidden Markov Models (EvHMM), an extension of probabilistic HMM for time-series modeling, where conditional belief functions are used in place of probabilities to manage uncertainty on discrete latent variables. Inference and learning mechanisms are described and allow to solve the three problems initially defined for HMM, namely, the classification problem (find the most... View full abstract»

• ### Granular Encoders and Decoders: A Study in Processing Information Granules

Publication Year: 2017, Page(s):1115 - 1126
| | PDF (1684 KB) | HTML

Information granules are generic building blocks supporting the processing realized in granular computing and facilitating communication with the environment. In this paper, we are concerned with a fundamental problem of encoding–decoding of information granules. The essence of the problem is outlined as follows: given a finite collection of granular data X1, View full abstract»

• ### Optimal-Vector-Based Algorithm for Solving Min-Max Programming Subject to Addition-Min Fuzzy Relation Inequality

Publication Year: 2017, Page(s):1127 - 1140
| | PDF (428 KB) | HTML

Optimal management model in BitTorrent-like peer-to-peer (P2P) file sharing system can be reduced into a min–max programming problem subject to addition-min fuzzy relation inequality. To deal with such problem, we introduce the concept of optimal vector. Besides, a novel optimal-vector-based (OVB) algorithm is developed to find a minimal optimal solution. Based on practical application cons... View full abstract»

• ### Integrated Design of Fault-Tolerant Control for Nonlinear Systems Based on Fault Estimation and T–S Fuzzy Modeling

Publication Year: 2017, Page(s):1141 - 1154
| | PDF (1549 KB) | HTML

This paper proposes an integrated design of fault-tolerant control (FTC) for nonlinear systems using Takagi–Sugeno (T–S) fuzzy models in the presence of modeling uncertainty along with actuator/sensor faults and external disturbance. An augmented state unknown input observer is proposed to estimate the faults and system states simultaneously, and using the estimates, an FTC controlle... View full abstract»

• ### Dynamic Output Feedback Control for Continuous-Time T–S Fuzzy Systems Using Fuzzy Lyapunov Functions

Publication Year: 2017, Page(s):1155 - 1167
| | PDF (577 KB) | HTML

A novel relaxation approach is proposed for the analysis and dynamic output feedback control of continuous-time Takagi–Sugeno (T–S) fuzzy systems using fuzzy Lyapunov functions. Previous relaxation methods for T–S fuzzy systems have some drawbacks in relaxing quadratic functions depending on normalized fuzzy weighting functions. They often introduce conservatism or lead to com... View full abstract»

• ### The Entropy Value for ECG of the Sport Horses

Publication Year: 2017, Page(s):1168 - 1174
| | PDF (765 KB) | HTML

In this study, we compared the amplitude and the duration of $P$ and $T$ waves of sport horses before a training program with after a training program. Waves are transformed to the entropies by the same methods of Şengönül et&#x... View full abstract»

• ### An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks

Publication Year: 2017, Page(s):1175 - 1192
| | PDF (858 KB) | HTML Media

The age of online data stream and dynamic environments results in the increasing demand of advanced machine learning techniques to deal with concept drifts in large data streams. Evolving fuzzy systems (EFS) are one of recent initiatives from the fuzzy system community to resolve the issue. Existing EFSs are not robust against data uncertainty, temporal system dynamics, and the absence of system o... View full abstract»

• ### Improving the Speed of Center of Sets Type Reduction in Interval Type-2 Fuzzy Systems by Eliminating the Need for Sorting

Publication Year: 2017, Page(s):1193 - 1206
| | PDF (1019 KB) | HTML

In the deployment of interval type-2 fuzzy systems, one of the most important steps is the type reduction. The commonly used center of sets type reducer requires the solution of two nonlinear constrained optimization problems. Frequently used approaches to solve them are the Karnik–Mendel algorithms and their variants. However, these algorithms suffer from the need for sorting, which is kno... View full abstract»

• ### Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data

Publication Year: 2017, Page(s):1207 - 1221
| | PDF (712 KB) | HTML

Although Takagi–Sugeno–Kang (TSK) fuzzy classifier has been applied to a wide range of practical scenarios, how to enhance its classification accuracy and interpretability simultaneously is still a challenging task. In this paper, based on the powerful stacked generalization principle, a deep TSK fuzzy classifier (D-TSK-FC) is proposed to achieve the enhanced classification accuracy ... View full abstract»

• ### Generalized Orthopair Fuzzy Sets

Publication Year: 2017, Page(s):1222 - 1230
| | PDF (274 KB) | HTML

We note that orthopair fuzzy subsets are such that that their membership grades are pairs of values, from the unit interval, one indicating the degree of support for membership in the fuzzy set and the other support against membership. We discuss two examples, Atanassov's classic intuitionistic sets and a second kind of intuitionistic set called Pythagorean. We note that for classic intuiti... View full abstract»

• ### A New Approach to Solve the Constrained OWA Aggregation Problem

Publication Year: 2017, Page(s):1231 - 1238
| | PDF (304 KB) | HTML

Constrained ordered weighted averaging (OWA) aggregation attempts to optimize the OWA aggregation problem with multiple constraints. It is inherently nonlinear, and Yager presented a novel method to transform the nonlinear problem to a mixed integer linear problem. Later, a simple algorithm for exact computation of optimal solutions to a single constrained OWA aggregation problem was presented. In... View full abstract»

• ### Large Scale Document Categorization With Fuzzy Clustering

Publication Year: 2017, Page(s):1239 - 1251
| | PDF (1225 KB) | HTML

Clustering documents into coherent categories is a very useful and important step for document processing and understanding. The introducing of fuzzy set theory into clustering provides a favorable mechanism to capture overlapping among document clusters. Document dataset is commonly represented as a collection of high-dimensional vectors, which may not be able to fit into memory entirely, when th... View full abstract»

• ### Adaptive Fuzzy Asymptotic Control of MIMO Systems With Unknown Input Coefficients Via a Robust Nussbaum Gain-Based Approach

Publication Year: 2017, Page(s):1252 - 1263
| | PDF (1176 KB) | HTML

This paper proposes an adaptive fuzzy asymptotic control method for multiple input multiple output (MIMO) nonlinear systems with unknown input coefficients, with a focus on handling unknown input nonlinearities and control directions. For all the existing Nussbaum gain-based approaches, it is difficult to investigate unknown input coefficients problem since multiple time-varying coefficients and d... View full abstract»

• ### Fuzzy Color Spaces: A Conceptual Approach to Color Vision

Publication Year: 2017, Page(s):1264 - 1280
| | PDF (763 KB) | HTML

In this paper, we introduce formal definitions of the concepts of fuzzy color and fuzzy color space. First, we formalize the notion of fuzzy color for representing the correspondence between computational representation of colors and perceptual color categories identified by a color name. Second, we propose a methodology for learning fuzzy colors based on the paradigm of conceptual spaces, where p... View full abstract»

• ### Multi-Instant Observer Design of Discrete-Time Fuzzy Systems: A Ranking-Based Switching Approach

Publication Year: 2017, Page(s):1281 - 1292
| | PDF (472 KB) | HTML

This paper generalizes recent results on multi-instant observer design for discrete-time Takagi–Sugeno fuzzy systems through a valid ranking-based switching approach. The approach hereby develops a concentrated subdivision of spanning space composed of normalized fuzzy weighting functions and then substantially produces a new ranking-based switching mechanism. By taking advantage of this ra... View full abstract»

• ### Hybrid Robust Boundary and Fuzzy Control for Disturbance Attenuation of Nonlinear Coupled ODE-Beam Systems With Application to a Flexible Spacecraft

Publication Year: 2017, Page(s):1293 - 1305
Cited by:  Papers (1)
| | PDF (867 KB) | HTML

This paper introduces a hybrid robust boundary and fuzzy control design for disturbance attenuation of a class of coupled systems described by nonlinear ordinary differential equations (ODEs) and two nonlinear beam equations. Initially, a Takagi–Sugeno (T–S) model is employed to exactly represent the nonlinear ODE subsystem. Then, a fuzzy controller is designed for the ODE subsystem ... View full abstract»

## 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