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# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 25 of 25

Publication Year: 2014, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2014, Page(s): C2
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• ### Bandler–Kohout Subproduct With Yager’s Classes of Fuzzy Implications

Publication Year: 2014, Page(s):469 - 482
Cited by:  Papers (5)
| | PDF (408 KB) | HTML

The Bandler-Kohout subproduct (BKS) inference mechanism is one of the two established fuzzy relational inference (FRI) mechanisms; the other one being Zadeh's compositional rule of inference (CRI). Both these FRIs are known to possess many desirable properties. It can be seen that many of these desirable properties are due to the rich underlying structure, viz., the residuated algebra, from which ... View full abstract»

• ### Day or Night Activity Recognition From Video Using Fuzzy Clustering Techniques

Publication Year: 2014, Page(s):483 - 493
Cited by:  Papers (11)
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We present an approach for activity state recognition implemented on data collected from various sensors-standard web cameras under normal illumination, web cameras using infrared lighting, and the inexpensive Microsoft Kinect camera system. Sensors such as the Kinect ensure that activity segmentation is possible during the daytime as well as night. This is especially useful for activity monitorin... View full abstract»

• ### Cooperative Adaptive Fuzzy Tracking Control for Networked Unknown Nonlinear Multiagent Systems With Time-Varying Actuator Faults

Publication Year: 2014, Page(s):494 - 504
Cited by:  Papers (72)
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In this paper, the cooperative adaptive fault tolerant fuzzy tracking control (CAFTFTC) problem of networked high-order multiagent with time-varying actuator faults is studied, and a novel CAFTFTC scheme is proposed to guarantee that all follower nodes asymptotically synchronize a leader node with tracking errors converging to a small adjustable neighborhood of the origin in spite of actuator faul... View full abstract»

• ### Evaluating R&D Projects as Investments by Using an Overall Ranking From Four New Fuzzy Similarity Measure-Based TOPSIS Variants

Publication Year: 2014, Page(s):505 - 515
Cited by:  Papers (9)
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Research and development (R&D) project ranking as investments is a well-known problem that is made difficult by incomplete and imprecise information about future project profitability. This paper shows how profitability results of R&D project evaluation with the fuzzy pay-off method can be ranked with four new variants of fuzzy TOPSIS each using a different fuzzy similarity measure. An ove... View full abstract»

• ### A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making

Publication Year: 2014, Page(s):516 - 530
Cited by:  Papers (38)
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Consensus reaching processes in group decision making attempt to reach a mutual agreement among a group of decision makers before making a common decision. Different consensus models have been proposed by different authors in the literature to facilitate consensus reaching processes. Classical models focus on solving group decision making problems where few decision makers participate. However, no... View full abstract»

• ### Fuzzy Inference System (FIS) Extensions Based on the Lattice Theory

Publication Year: 2014, Page(s):531 - 546
Cited by:  Papers (18)
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A fuzzy inference system (FIS) typically implements a function f : ℝN → I, where the domain set R denotes the totally ordered set of real numbers, whereas the range set I may be either I = RM (i.e., FIS regressor) or T may be a set of labels (i.e., FIS classifier), etc. This study considers the complete lattice (F, ≤) of Type-1 Intervals' Numbers (INs), where an IN ... View full abstract»

• ### GENEFIS: Toward an Effective Localist Network

Publication Year: 2014, Page(s):547 - 562
Cited by:  Papers (36)
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Nowadays, there is increasing demand for an integrated system usable to real-time environments under limited computational resources and minimum operator supervision. In contrast, the model is also supposed to actualize high predictive quality in order to confirm the process safety and attractive working framework allowing the user to grasp how the particular task is settled. A holistic concept of... View full abstract»

• ### Fuzzy Adaptive Actuator Failure Compensation Control of Uncertain Stochastic Nonlinear Systems With Unmodeled Dynamics

Publication Year: 2014, Page(s):563 - 574
Cited by:  Papers (61)
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This paper investigates fuzzy adaptive actuator failure compensation control for a class of uncertain stochastic nonlinear systems in strict-feedback form. These stochastic nonlinear systems contain the actuator faults of both loss of effectiveness and lock-in-place, unmodeled dynamics, and without direct measurements of state variables. With the help of fuzzy logic systems to approximate the unkn... View full abstract»

• ### Operators and Comparisons of Hesitant Fuzzy Linguistic Term Sets

Publication Year: 2014, Page(s):575 - 585
Cited by:  Papers (72)
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The theory of hesitant fuzzy linguistic term sets (HFLTSs) is very useful in objectively dealing with situations in which people are hesitant in providing linguistic assessments. The purpose of this paper is to develop comparison methods and study the aggregation theory for HFLTSs. We first define operations on HFLTSs and give possibility degree formulas for comparing HFLTSs. We then define two ag... View full abstract»

• ### Rule Extraction From Fuzzy-Based Blast Furnace SVM Multiclassifier for Decision-Making

Publication Year: 2014, Page(s):586 - 596
Cited by:  Papers (7)
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Black-box models play an important role in advancing the blast furnace modeling technologies for control purposes. To further enhance their practical applications, this paper is concerned with the transparency and comprehensibility of blast furnace black-box models. A fuzzy-based support vector machine (SVM) classification algorithm is proposed to perform the tasks of determining the controllable ... View full abstract»

• ### Fuzzy Cognitive Network Process: Comparisons With Fuzzy Analytic Hierarchy Process in New Product Development Strategy

Publication Year: 2014, Page(s):597 - 610
Cited by:  Papers (13)
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Fuzzy analytic hierarchy process (F-AHP) has increasingly been applied in many areas. However, as the perception and cognition toward the semantic representation for the linguistic rating scale used by the fuzzy pairwise comparison in F-AHP are still open to discuss, F-AHP very likely produces misapplications. This research proposes the fuzzy cognitive network process (F-CNP) as an ideal alternati... View full abstract»

• ### Delayed Output Feedback Control for Nonlinear Systems With Two-Layer Interval Fuzzy Observers

Publication Year: 2014, Page(s):611 - 630
Cited by:  Papers (1)
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In this paper, the design problem of a delayed output feedback control scheme using two-layer interval fuzzy observers for a class of nonlinear systems with state and output delays is investigated. The Takagi-Sugeno-type fuzzy linear model with an online update law is used to approximate the nonlinear system. Based on the fuzzy model, a two-layer interval fuzzy observer is used to reconstruct the ... View full abstract»

• ### Adaptive Fuzzy Finite-Time Coordination Control for Networked Nonlinear Bilateral Teleoperation System

Publication Year: 2014, Page(s):631 - 641
Cited by:  Papers (19)
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The master-slave control design problem is considered for the networked teleoperation system with friction and external disturbances. A new finite-time synchronization control method is proposed with the help of adaptive fuzzy approximation. We develop a new nonsingular fast terminal sliding mode (NFTSM) to provide faster convergence and higher precision than the linear hyperplane-sliding mode and... View full abstract»

• ### Fuzzy Boundary Control Design for a Class of Nonlinear Parabolic Distributed Parameter Systems

Publication Year: 2014, Page(s):642 - 652
Cited by:  Papers (22)
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This paper deals with the problem of fuzzy boundary control design for a class of nonlinear distributed parameter systems which are described by semilinear parabolic partial differential equations (PDEs). Both distributed measurement form and collocated boundary measurement form are considered. A Takagi-Sugeno (T-S) fuzzy PDE model is first applied to accurately represent the semilinear parabolic ... View full abstract»

• ### Fuzzy Chance-Constrained Multiobjective Portfolio Selection Model

Publication Year: 2014, Page(s):653 - 671
Cited by:  Papers (8)
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This paper addresses the problem of portfolio selection with fuzzy parameters from a perspective of chance-constrained multiobjective programming. The key financial criteria used here are conventional, namely, return, risk, and liquidity; however, we use short- and long-term variants of return rather than a single measure of an investor's expectations in respect thereof. The proposed model aims to... View full abstract»

• ### New Classes of Threshold Aggregation Functions Based Upon the Tsallis q-Exponential With Applications to Perceptual Computing

Publication Year: 2014, Page(s):672 - 684
Cited by:  Papers (8)
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We introduce two new classes of single-parameter aggregation functions based upon the Tsallis q-exponential (QE) function of nonextensive statistical mechanics. These aggregation functions (denoted QE aggregation) facilitate simple modeling of the common human reasoning trait of “threshold” inference, where either 1) at least one input must exceed a threshold in order to achieve a no... View full abstract»

• ### Centroids of Type-1 and Type-2 Fuzzy Sets When Membership Functions Have Spikes

Publication Year: 2014, Page(s):685 - 692
Cited by:  Papers (5)
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Centroids are practically important in type-1 and type-2 fuzzy logic systems as a method of defuzzification and type reduction. However, computational problems arise when membership functions (MF) have singleton spikes. The novel thresholding aggregation operators that were described in our companion paper “ New Classes of Threshold Aggregation Functions Based Upon the Tsallis q-Exponential... View full abstract»

• ### Breast Nodules Computer-Aided Diagnostic System Design Using Fuzzy Cerebellar Model Neural Networks

Publication Year: 2014, Page(s):693 - 699
Cited by:  Papers (11)
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Since the mortality rate of breast cancer in women is gradually increasing, a well-designed computer-aided diagnosis (CAD) system can assist doctors in early diagnosis of the breast cancer. In this paper, a breast nodule CAD system is developed, and this system aims for a high-performance classifier for characterizing breast nodules as either benign or malignant on an ultrasonic image. A fuzzy cer... View full abstract»

• ### Nonquadratic ${{\cal H}}_\infty$ Stabilization Conditions for Observer-Based T–S Fuzzy Control Systems

Publication Year: 2014, Page(s):699 - 706
Cited by:  Papers (6)
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This paper investigates the nonquadratic output-feedback stabilization problem for nonlinear systems in Takagi-Sugeno's (T-S) form. To achieve improved performance in the H∞ sense, this paper provides two kinds of relaxation techniques: one for the case where all premise variables are measurable and one for the case where the premise variables are immeasurable. In particular, the... View full abstract»

• ### Open Access

Publication Year: 2014, Page(s): 707
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• ### Together, we are advancing technology

Publication Year: 2014, Page(s): 708
| PDF (398 KB)
• ### IEEE Computational Intelligence Society Information

Publication Year: 2014, Page(s): C3
| PDF (125 KB)
• ### IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2014, Page(s): C4
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## 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