# IEEE Transactions on Fuzzy Systems

### Early Access Articles

Early Access articles are made available in advance of the final electronic or print versions. Early Access articles are peer reviewed but may not be fully edited. They are fully citable from the moment they appear in IEEE Xplore.

## Filter Results

Displaying Results 1 - 25 of 147
• ### Stabilization of chaotic systems with T-S fuzzy model and nonuniform sampling: A switched fuzzy control approach

Publication Year: 2018, Page(s): 1
| | PDF (645 KB)

This paper studies the problems of stability and stabilization of a class of chaotic systems (CSs) with T-S fuzzy model and nonuniform sampling. It designs for the first time a fuzzy sampled-data protocol based on a switched idea to tackle stability issue of such systems. Novel criteria on stabilization of CSs are established by employing a fuzzy membership functions (FMFs) dependent Lyapunov func... View full abstract»

• ### A variable neighborhood search algorithm for solving fuzzy number linear programming problems using modified Kerre's method

Publication Year: 2018, Page(s): 1
| | PDF (398 KB)

To solve a fuzzy linear program, we need to compare fuzzy numbers. Here, we make use of our recently proposed modified Kerre's method for comparison of LR fuzzy numbers. We give some new results on LR fuzzy numbers and show that to compare two LR fuzzy numbers, we do not need to compute the fuzzy maximum of two numbers directly. Using the modified Kerre's method, we propose a new variable neighbor... View full abstract»

• ### Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making

Publication Year: 2018, Page(s): 1
| | PDF (1279 KB)

Recently, large scale group decision making (LSGDM) problems are becoming a hotspot. This paper focuses on the hesitant fuzzy LSGDM problems, where decision makers (DMs) use hesitant fuzzy reciprocal preference relations (HFPRs) to express their assessment information. HFPRs can represent the fuzziness and hesitancy of DM assessment information well. To improve the efficiency of hesitant fuzzy LSG... View full abstract»

• ### Controlling Uncertain Swarm Mechanical Systems: A β-Measure Based Approach

Publication Year: 2018, Page(s): 1
| | PDF (1754 KB)

We consider an articial swarm mechanical system consisting of multiple agents. The agents are composed of mechanical components. The ideal kinematic performance includes mutual attractions and repulsions. This kinematic performance is embedded into the dynamics by being treated as a constraint. The Udwadia-Kalaba theory is then used to generate the required servo constraint force to assure the con... View full abstract»

• ### Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Appraoch

Publication Year: 2018, Page(s): 1
| | PDF (441 KB)

This paper is concerned with the problem of generalized H2 reduced-order filter design for continuous Takagi-Sugeno fuzzy systems using an event-triggered scheme. For a continuous Takagi-Sugeno fuzzy dynamic system, we want to establish a reduced-order filter to transform the original model into a linear lower-order one. This filter can also approximate the original system with H2 performance, wit... View full abstract»

• ### Observer-Based Event-Triggered Adaptive Decentralized Fuzzy Control for Nonlinear Large-Scale Systems

Publication Year: 2018, Page(s): 1
| | PDF (1469 KB)

For a class of large-scale nonlinear systems in nonstrict-feedback structure with immeasurable states, an adaptive decentralized fuzzy control strategy on the basis of event-triggered mechanism is investigated in this paper. Fuzzy logic systems are implemented to construct an observer, which approximates the unknown nonlinear function in the controller. In light of backstepping control technique a... View full abstract»

• ### A Constrained Representation Theorem for Well-Shaped Interval Type-2 Fuzzy Sets, and the Corresponding Constrained Uncertainty Measures

Publication Year: 2018, Page(s): 1
| | PDF (2007 KB)

The Representation Theorem for interval type-2 fuzzy sets (IT2 FSs), proposed by Mendel and John, states that an IT2 FS is a combination of all its embedded type-1 (T1) FSs, which can be non-convex and/or sub-normal. These non-convex and/or sub-normal embedded T1 FSs are included in developing many theoretical results for IT2 FSs, including uncertainty measures, the linguistic weighted averages (L... View full abstract»

• ### On Convergence of the Class Membership Estimator in Fuzzy k-Nearest Neighbor Classifier

Publication Year: 2018, Page(s): 1
| | PDF (10524 KB) |  Media

The Fuzzy$k$-Nearest Neighbor Classifier (F$k$NN) improves upon the flexibility of the$k$-Nearest Neighbor Classifier ($k$NN) by considering each class as a fuzzy set, and estimating the membership of an unlabelled data instance for each of the classes. However, the question of v... View full abstract»

• ### Event triggered adaptive fuzzy consensus for interconnected switched multi-agent systems

Publication Year: 2018, Page(s): 1
| | PDF (5951 KB)

This paper concentrates on the problem of event triggered adaptive leader-following control for a class of multi-agent systems. The considered systems contain completely unknown interconnections and arbitrary asynchronously switching. To handle these nonlinearties, a new hierarchical barrier Lyapunov method is proposed. Based on this method, a novel adaptive fuzzy control strategy is designed to m... View full abstract»

• ### A Fuzzy Multi-Layer Assessment Method for EFQM

Publication Year: 2018, Page(s): 1
| | PDF (1330 KB)

Although the European Foundation for Quality Management (EFQM) is one of the best-known business excellence frameworks, its inherent self-assessment approaches have several limitations. A critical review of self-assessment models reveals that most models are ambiguous and limited to precise data. In addition, the impact of expert knowledge on scoring is overly subjective, and most methodologies as... View full abstract»

• ### Analysis of the fuzzy economic production lot size inventory problem without an explicit membership function

Publication Year: 2018, Page(s): 1
| | PDF (626 KB)

Because of the lack of available historical data resulting from increasing market turbulence and increasingly short product life cycles (PLCs), the demand for an inventory system has varied non-stochastically and must be subjectively determined. This paper investigates the economic production lot size (EPLS) inventory problem with fuzzy demands but without explicit membership functions, in which a... View full abstract»

• ### Cooperative Artificial Bee Colony Algorithm with Multiple Populations for Interval Multi-Objective Optimization Problems

Publication Year: 2018, Page(s): 1
| | PDF (1259 KB)

In practical engineering optimization problems (like risk assessments), the parameters of the objective functions can be intervals because of noise and uncertainty; however, such problems cannot be solved by traditional multi-objective optimization methods. And yet, very little study has addressed interval multi-objective optimization methods compared to traditional multiobjective optimization met... View full abstract»

• ### A Multi-Agent Architecture for the Design of Hierarchical Interval Type-2 Beta Fuzzy System

Publication Year: 2018, Page(s): 1
| | PDF (1037 KB) |  Media

This paper presents a new methodology for building and evolving hierarchical fuzzy systems. For the system design, a tree-based encoding method is adopted to hierarchically link low dimensional fuzzy systems. Such tree structural representation has by nature a flexible design offering more adjustable and modifiable structures. The proposed hierarchical structure employs a type-2 beta fuzzy system ... View full abstract»

• ### The negation of a basic probability assignment

Publication Year: 2018, Page(s): 1
| | PDF (1022 KB)

In the field of information science, how to represent the uncertain information is still an open issue. The negation is an important way to represent the information. However, existing negation method has the limitations since it can only be applied to the probability distributions. To address this issue, this paper proposed a novel method to obtain the negation of the Basic Probability Assignment... View full abstract»

• ### Multi-View Fuzzy Logic System with the Cooperation between Visible and Hidden Views

Publication Year: 2018, Page(s): 1
| | PDF (4 KB) |  Media

Multi-view datasets are frequently encountered in learning tasks, such as web data mining and multimedia information analysis. Given a multi-view dataset, traditional learning algorithms usually decompose it into several single-view datasets, from each of which a single-view model is learned. In contrast, a multi-view learning algorithm can achieve better performance by cooperative learning on the... View full abstract»

• ### Bisimilarity in Fuzzy Description Logics under the Zadeh Semantics

Publication Year: 2018, Page(s): 1
| | PDF (666 KB)

Fuzzy description logics (DLs) are extensions of DLs for dealing with imprecise and vague concepts. They found the logical basis for fuzzy ontologies, which are useful for practical applications. Bisimilarity is a natural notion of equivalence between individuals in DLs. In this paper, for the first time, we introduce the notion of bisimilarity in fuzzy DLs under the Zadeh semantics. It is defined... View full abstract»

• ### Improving the performance of fuzzy rule-based classification systems based on a non-averaging generalization of CC-integrals named$C_{F1 F2}$-integrals

Publication Year: 2018, Page(s): 1
| | PDF (2155 KB)

A key component of Fuzzy Rule-Based Classification Systems (FRBCSs) is the Fuzzy Reasoning Method (FRM), since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information given by the fired rules during the inference process is aggregated. A widely used FRM is the winning rule, which applies the maximum to accomplish this aggregation. The maximum ... View full abstract»

• ### Analyzing a Closed-loop Supply Chain Considering Environmental Pollution using the NSGA-II

Publication Year: 2018, Page(s): 1
| | PDF (1016 KB)

This paper investigates a closed-loop supply chain network that includes forward-reverse logistics and the uncertainty of demand and that is close to the actual situation. The proposed mathematical model helps maximize total profit and minimize environmental pollution. The total costs considered include production costs, cargo transportation costs and disposal costs. The model aims to answer two q... View full abstract»

• ### Multimodal Gait Recognition with Inertial Sensor Data and Video using Evolutionary Algorithm

Publication Year: 2018, Page(s): 1
| | PDF (4417 KB)

Evolutionary decision fusion has applications in biometric authentication and verification. Grey Wolf Optimizer (GWO) is one such evolutionary decision fusion approach that can be used to tune the fusion parameters in a multimodal data acquisition system. Human gait is a proven biometric trait with applications in security and authentication. However, acquiring human gait data can be erroneous due... View full abstract»

• ### Indirect Adaptive Fuzzy Control Design With Guaranteed Tracking Error Performance For Uncertain Canonical Nonlinear Systems

Publication Year: 2018, Page(s): 1
| | PDF (37340 KB)

In this paper, we consider the fuzzy controller design problem for output tracking of uncertain strict-feedback nonlinear systems. For comparison, a basic fuzzy control scheme is firstly constructed based on an existing approach representative in the field. The scheme is advantaged to reduce the number of parameter estimates, and this advantage indeed benefits from the operation of handling the sq... View full abstract»

• ### Granular Fuzzy Modeling for Multi-dimensional Numeric Data: A Layered Approach Based on Hyperbox

Publication Year: 2018, Page(s): 1
| | PDF (10139 KB)

At present, the development of most granular fuzzy models depends upon some well-established numeric ones. In this study, a layered approach used to directly construct granular fuzzy models based on multi-dimensional numeric data is presented by engaging design methodology of granular computing. The crux of the approach involves a construction of interval information granules in the output space a... View full abstract»

• ### Decentralized Dissipative Filtering for Delayed Nonlinear Interconnected Systems Based on T-S Fuzzy Model

Publication Year: 2018, Page(s): 1
| | PDF (925 KB)

This paper focuses on the problem of dissipative filtering for nonlinear interconnected systems with interval time-varying delays. The considered nonlinear interconnected system is modeled by Takagi-Sugeno fuzzy rules. By constructing the delay-dependent Lyapunov-Krasovskii functional and using new integral inequality, the delay-dependent condition is established to ensure that the derived closed-... View full abstract»

• ### Fuzzy pushdown termination games

Publication Year: 2018, Page(s): 1
| | PDF (2607 KB)

Recently, the computational study on finite/infinite state systems, probabilistic systems, and finite-state fuzzy systems, has received much attention. In contrast, there are very few results for algorithmic analysis of infinite-state fuzzy systems. In this article, we introduce fuzzy pushdown termination games (FPDTGs), which are an extension of fuzzy pushdown automata with a game feature and can... View full abstract»

• ### BPEC: Belief-Peaks Evidential Clustering

Publication Year: 2018, Page(s): 1
| | PDF (2401 KB)

This paper introduces a new evidential clustering method based on the notion of "belief peaks" in the framework of belief functions. The basic idea is that all data objects in the neighborhood of each sample provide pieces of evidence that induce belief on the possibility of such sample to become a cluster center. A sample having higher belief than its neighbors and located far away from other loc... View full abstract»

• ### Finite-Time Adaptive Fuzzy Output Feedback Dynamic Surface Control for MIMO Non-strict Feedback Systems

Publication Year: 2018, Page(s): 1
| | PDF (965 KB)

This paper investigates the finite-time adaptive fuzzy control problem for a class of multi-input and multi-output (MIMO) nonlinear non-strict feedback systems. During the control design process, fuzzy logic systems (FLSs) are utilized to approximate the unknown nonlinear functions, and fuzzy state observer is constructed to estimate the unmeasured states. By combining adaptive backstepping with d... 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