# 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 176
• ### Event Trigger Fuzzy Adaptive Compensation Control of Uncertain Stochastic Nonlinear Systems With Actuator Failures

Publication Year: 2018, Page(s): 1
| | PDF (924 KB)

In this paper, the problem of event trigger Fuzzy adaptive compensation control for uncertain stochastic nonlinear system with actuator failures is considered. Although great strides have been made in accommodating nonlinear system in recent results, it is still an arduous task and challenge to design an event-triggered based controller to handle the uncertain stochastic nonlinear system with actu... View full abstract»

• ### Intuitionistic Fuzzy Double Integrals and Their Fundamental Properties

Publication Year: 2018, Page(s): 1
| | PDF (582 KB)

Intuitionistic fuzzy set (IFS), as a significant generalization of the fuzzy set (FS), takes the membership function and the non-membership function into consideration simultaneously, and the core components of an IFS are the ordered pairs which are called intuitionistic fuzzy numbers (IFNs). More recently, the intuitionistic fuzzy calculus (IFC) has been established, which is based on the basic o... View full abstract»

• ### Novel Adaptive Clustering Algorithms based on a Probabilistic Similarity Measure over Atanassov Intuitionistic Fuzzy Set

Publication Year: 2018, Page(s): 1
| | PDF (797 KB)

This paper reports a novel probabilistic similarity measure (PSM) for Atanassov Intuitionistic Fuzzy Sets (AIFSs). It then exploits PSM to propose an adaptive probabilistic similarity degree and develops the novel probabilistic λ-cutting algorithm for clustering. Further, the probabilistic distance measure (obtained from PSM) is used to develop a new clustering technique, which we have name... View full abstract»

• ### Robust Multiobjective Optimization with Robust Consensus

Publication Year: 2018, Page(s): 1
| | PDF (4205 KB)

Consider a multiobjective robust optimization problem, where a set of weighted decision makers provides their preferences a priori. The preferences are provided either in the objective space or in the decision variable space using fuzzy numbers. To solve this problem, 1) an indicator to measure consensus, 2) an indicator to measure the robustness of the solutions to their degrees of consensus, and... View full abstract»

• ### L$_{2}$L$_{infin}$ Output Feedback Controller Design for Fuzzy Systems Over Switching Parameters

Publication Year: 2018, Page(s): 1
| | PDF (1145 KB)

This paper focuses on the problem of $mathcal{L}_{2}$-$mathcal{L}_{infty}$ dynamic output feedback controller design for nonlinear switched systems with nonlinear perturbations in the Takagi-Sugeno fuzzy framework. First, the average dwell time approach is used to stabilize a nonlinear switched system exponentially under an arbitrary swit... View full abstract»

• ### Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion

Publication Year: 2018, Page(s): 1
| | PDF (234 KB)

Multiple kernel learning (MKL) is a principled approach to kernel combination and selection for a variety of learning tasks such as classification, clustering and dimensionality reduction. In this paper, we develop a novel fuzzy multiple kernel learning model based on the Hilbert-Schmidt independence criterion (HSIC) for classification, which we call HSIC-FMKL. In this model, we first propose an H... View full abstract»

• ### Adaptive fuzzy observer design for a class of switched nonlinear systems with actuator and sensor faults

Publication Year: 2018, Page(s): 1
| | PDF (2171 KB)

In the paper, an adaptive fault estimation approach is proposed for a class of switched nonlinear systems. The considered system is assumed to possess unknown nonlinearities, unmeasured states, and simultaneous sensor and actuator faults. Fuzzy logic systems are applied to approximate the unknown nonlinear terms. Two new adaptive fuzzy observers are designed where the sensor and actuator faults ca... View full abstract»

• ### Probabilistic Linguistic MULTIMOORA: A Multi-Criteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule

Publication Year: 2018, Page(s): 1
| | PDF (1823 KB)

The probabilistic linguistic term set is a powerful technique in representing linguistic evaluations of individuals or groups in the process of decision making. The aim of this paper is to propose a strongly robust method to solve multi-experts multi-criteria decision making problems with linguistic evaluations. To enrich the computation and to improve the measures of probabilistic linguistic term... View full abstract»

• ### ${n}$-Dimensional Fuzzy Negations

Publication Year: 2018, Page(s): 1
| | PDF (680 KB)

${n}$-Dimensional fuzzy sets is a fuzzy set extension where the membership values are ${n}$-tuples of real numbers in the unit interval [0,1] orderly increased, called ${n}$-dimensional intervals. The set of ${n}$-dimensional intervals is denoted by L$_{n}$ View full abstract»

• ### A multi-objective portfolio selection model with fuzzy Value-at-Risk ratio

Publication Year: 2018, Page(s): 1
| | PDF (5095 KB)

Considering nonstatistical uncertainties and/or insufficient historical data in security return forecasts, fuzzy set theory has been applied in the past decades to build portfolio selection models. Meanwhile, various risk measurements such as variance, entropy and Value-at-Risk have been proposed in fuzzy environments to evaluate investment risks from different perspectives. Sharpe ratio, also kno... View full abstract»

• ### State/Disturbance Observer and Controller Synthesis for the T-S Fuzzy System with an Enlarged Class of Disturbances

Publication Year: 2018, Page(s): 1
| | PDF (1787 KB)

This paper proposes a novel approach for designing the observer and controller for Takagi-Sugeno (T-S) fuzzy systems with an Enlarged Class of Disturbances. The class of the disturbances in this study is significantly enlarged because they do not need to satisfy the constraints such as bounded, generated from an exogenous system, or finite derivative is equal to zero. First, the state/disturbance ... View full abstract»

• ### H Stabilization for Polynomial Fuzzy Time-delay System: A Sum-of-Squares Approach

Publication Year: 2018, Page(s): 1
| | PDF (822 KB)

The H$_{infty}$ stabilization problem for polynomial fuzzy time-delay system (PFTDS) is investigated in this paper. First, a polynomial fuzzy controller is proposed to stabilize the PFTDS. Based on Euler's homogeneity relation, homogeneous polynomial Lyapunov–Kravoskii functional (HPLKF), and the developed polynomial slack variable matrices, a novel stab... View full abstract»

• ### A Two-Tier Distributed Fuzzy Logic Based Protocol for Efficient Data Aggregation in Multi-Hop Wireless Sensor Networks

Publication Year: 2018, Page(s): 1
| | PDF (5082 KB)

This study proposes a two-tier distributed fuzzy logic based protocol in order to improve efficiency of data aggregation operations in multi-hop wireless sensor networks (WSNs). Clustering is utilized for efficient aggregation requirements in terms of consumed energy. In a clustered network, member (leaf) nodes transmit obtained data to cluster-heads (CH) and CHs relay received packets to the base... View full abstract»

• ### A Novel Robust Fuzzy Integral Sliding Mode Control for Nonlinear Semi-Markovian Jump T-S Fuzzy Systems

Publication Year: 2018, Page(s): 1
| | PDF (223 KB)

This paper concerns with the problem of robust fuzzy sliding mode control for continuous-time Takagi-Sugeno fuzzy systems with semi-Markovian switching and nonlinear disturbances. The attentions are focused on designing a novel fuzzy integral sliding surface without assumption that the input matrices are the same with full column rank and then developing a fuzzy sliding mode controller for stochas... View full abstract»

• ### Belief reliability for uncertain random systems

Publication Year: 2018, Page(s): 1
| | PDF (1604 KB)

Measuring system reliability by a reasonable metric is a basic problem in reliability engineering. Since the real systems are usually uncertain random systems which is affected by both aleatory and epistemic uncertainties, the existed reliability metrics may not work well. This paper aims to develop a general reliability metric, called belief reliability metric, to cope with the problem. In this p... View full abstract»

• ### Fuzzy Rank Acceptability Analysis: A Confidence Measure of Ranking Fuzzy Numbers

Publication Year: 2018, Page(s): 1
| | PDF (578 KB)

Ordering fuzzy quantities is a key and challenging problem in fuzzy sets theory that has attracted the interest of many researchers. Despite the multiple indices introduced for this purpose and due to the fact that fuzzy quantities do not have a natural order, there is still a chance to provide a new approach for ranking this type of quantities from the acceptability and foundation points of view.... View full abstract»

• ### A knowledge-based risk measure from the fuzzy multi-criteria decision-making perspective

Publication Year: 2018, Page(s): 1
| | PDF (424 KB) |  Media

Risk measures play significant roles in determining the magnitude of risks. The traditional risk measures consider only the consequence (C) and the probability (P) and ignore the support of the knowledge behind to estimate C and P. Several researchers have suggested adding knowledge as a third dimension in the risk measures. However, the issues of how to embed the dimension of knowledge in the ris... View full abstract»

• ### Min and Max Operators for Gradual Intervals

Publication Year: 2018, Page(s): 1
| | PDF (1047 KB)

This paper presents a new and a more general formulation of the min and max operations for gradual intervals, initially proposed in [1] for the special case of triangular fuzzy intervals. Gradual intervals generalize the conventional interval representation by increasing its specificity, thereby making it possible to represent the imprecision and the uncertainty via the notion of gradualness. In t... View full abstract»

• ### Model Reduction of Discrete-time Interval Type-2 T-S Fuzzy Systems

Publication Year: 2018, Page(s): 1
| | PDF (368 KB)

This paper is concerned with the model reduction problem of discrete-time interval type-2 Takagi-Sugeno (T-S) fuzzy systems which represent the discrete-time nonlinear systems subject to uncertainty. With the use of interval type-2 fuzzy sets, the uncertainty of the discrete-time nonlinear system can be captured by the lower and upper membership functions. For a given high-order discrete-time inte... View full abstract»

• ### Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations

Publication Year: 2018, Page(s): 1
| | PDF (1050 KB)

Unsupervised domain adaptation (UDA) aims to recognize newly emerged patterns in target domains, which may be unlabeled, by leveraging knowledge from patterns learnt from source domains. However, existing UDA models and algorithms still suffer from heterogeneous domains, known as the heterogeneous unsupervised domain adaptation (HeUDA) issue. To address this issue, this paper presents a novel HeUD... View full abstract»

• ### Discriminative Fuzzy C-Means as a Large Margin Unsupervised Metric Learning

Publication Year: 2018, Page(s): 1
| | PDF (489 KB)

In this paper, a new unsupervised metric learning algorithm with real world application in clustering is proposed. To have a desirable clustering, it is needed to improve the separability among different classes of data. A common manner in accomplishing this objective is to take the advantages of metric learning in clustering and vice versa. Clustering provides an estimation of class labels and me... View full abstract»

• ### An ensemble clusterer of multiple fuzzy k-means clusterings to recognize arbitrarily shaped clusters

Publication Year: 2018, Page(s): 1
| | PDF (1779 KB)

Fuzzy cluster ensemble is an important research content of ensemble learning, which is used to aggregate several fuzzy base clusterings to generate a single output clustering with improved robustness and quality. However, since clustering is unsupervised, where the "accuracy" does not have a clear meaning, it is difficult for existing ensemble methods to integrate multiple fuzzy k-means clustering... View full abstract»

• ### T-S Fuzzy Model Based Output Feedback Tracking Control with Control Input Saturation

Publication Year: 2018, Page(s): 1
| | PDF (2077 KB) |  Media

This paper investigates the output feedback tracking control for fuzzy-model-based control (FMB) system when the control input is saturated, where the FMB is developed based on a T-S fuzzy model and a fuzzy controller. The controller is employed to close the feedback loop and generate the system to trace the trajectory of the states of a stable reference model subject to H$infin$ View full abstract»

• ### Signed-Distance Measures Oriented to Rank Interval-Valued Fuzzy Numbers

Publication Year: 2018, Page(s): 1
| | PDF (182 KB)

In this paper, a class of signed-distance measures was proposed for interval-valued fuzzy numbers based on some specific bivariate functions called kernels and -values of interval-valued fuzzy numbers. The main properties of the proposed signed-distance measure such as robustness were also studied in the space of interval-valued fuzzy numbers. Then, the proposed signed distance was applied to rank... View full abstract»

• ### Guaranteeing uniform ultimate boundedness for uncertain systems free of matching condition

Publication Year: 2018, Page(s): 1
| | PDF (1241 KB)

A fuzzy-based optimal approach to robust control design is proposed for interconnected uncertain system with mismatching condition, which was not available earlier. We consider an interconnected system containing uncertainty, which may include initial conditions, unknown system parameters, and input disturbance. The uncertainty bound lies within a prescribed fuzzy set. The system does not satisfy ... 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