<![CDATA[ IEEE Transactions on Fuzzy Systems - new TOC ]]>
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TOC Alert for Publication# 91 2016July 28<![CDATA[Table of Contents]]>243C1C1101<![CDATA[IEEE Transactions on Fuzzy Systems publication information]]>243C2C267<![CDATA[Nonfragile <inline-formula> <img src="/images/tex/516.gif" alt="H_{\infty }"> </inline-formula> Fuzzy Filtering With Randomly Occurring Gain Variations and Channel Fadings]]>∞ filtering problem for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with both randomly occurring gain variations (ROGVs) and channel fadings. the phenomenon of the ROGVs is introduced into the system model so as to account for the parameter fluctuations occurring during the filter implementation. Two sequences of random variables obeying the Bernoulli distribution are employed to describe the phenomenon of the ROGVs bounded by prescribed norms. In addition, the Rice fading model is utilized to describe the phenomena of channel fadings, where the occurrence probabilities of the random channel coefficients are allowed to time varying. Through stochastic analysis and Lyapunov functional approach, sufficient conditions are established under which the filtering error dynamics is exponentially mean-square stable with a prespecified H_{∞} performance. The set of the desired nonfragile H_{∞} filters is characterized by solving a convex optimization problem via the semidefinite programming method. An illustrative example is given to show the usefulness and effectiveness of the proposed design method in this paper.]]>243505518661<![CDATA[Chain and Substitution Rules of Intuitionistic Fuzzy Calculus]]>243519529345<![CDATA[Extended Fuzzy Logic: Sets and Systems]]>243530543955<![CDATA[Fuzzy-Model-Based Robust <inline-formula><tex-math notation="LaTeX">$H_{infty}$</tex-math> </inline-formula> Design of Nonlinear Packetized Networked Control Systems]]>∞ design of a nonlinear packetized networked control system with time-varying transmission delays and transmission intervals based on a delay-distribution approach combined with an improved Lyapunov-Krasovskii method. By the delay-distribution approach, the real-time distribution of input delays is described as a dependent and nonidentically distributed process, and the nonlinear packetized networked control system is modeled as a novel randomly switched Takagi-Sugeno fuzzy system with multiple uncertain input-delay subsystems. The improved Lyapunov- Krasovskii method is proposed to more rationally exploit the realtime distribution of input delays and the synchronous membership functions of the Takagi-Sugeno fuzzy models of the plant and the packetized parallel distributed compensation scheme. New delay-distribution-dependent sufficient conditions are derived for the deterministic robust exponential stability and H_{∞} performance of the overall system. The resulting controller design method of the packetized parallel distributed compensation scheme is equivalent to an iterative linear optimization algorithm with linear matrix inequality constraints. Detailed numerical examples are presented to substantiate the effectiveness and advantage of our theoretical results.]]>243544557719<![CDATA[Extensions of Atanassov's Intuitionistic Fuzzy Interaction Bonferroni Means and Their Application to Multiple-Attribute Decision Making]]>243558573771<![CDATA[Evolving Type-2 Fuzzy Classifier]]>243574589686<![CDATA[Multicriteria Decision Making With Ordinal/Linguistic Intuitionistic Fuzzy Sets For Mobile Apps]]>243590599330<![CDATA[Improving Linguistic Pairwise Comparison Consistency via Linguistic Discrete Regions]]>243600614862<![CDATA[Law of Large Numbers for Uncertain Random Variables]]>243615621260<![CDATA[Output Feedback Direct Adaptive Fuzzy Controller Based on Frequency-Domain Methods]]>2436226341223<![CDATA[Stability and Stabilization of Takagi–Sugeno Fuzzy Systems via Sampled-Data and State Quantized Controller]]>243635644623<![CDATA[Parameterizing the Semantics of Fuzzy Attribute Implications by Systems of Isotone Galois Connections]]>243645660606<![CDATA[Decentralized Sampled-Data Fuzzy Observer Design for Nonlinear Interconnected Systems]]>2436616741485<![CDATA[Robust Stability Analysis and Systematic Design of Single-Input Interval Type-2 Fuzzy Logic Controllers]]>2436756943042<![CDATA[Rough-Set-Theoretic Fuzzy Cues-Based Object Tracking Under Improved Particle Filter Framework]]>2436957071804<![CDATA[Fuzzy Multiobjective Modeling and Optimization for One-Shot Multiattribute Exchanges With Indivisible Demand]]>243708723663<![CDATA[Global Fuzzy Adaptive Hierarchical Path Tracking Control of a Mobile Robot With Experimental Validation]]>2437247401383<![CDATA[Asymmetric Fuzzy Preference Relations Based on the Generalized Sigmoid Scale and Their Application in Decision Making Involving Risk Appetites]]>2437417561210<![CDATA[Possibilistic Functional Dependencies and Their Relationship to Possibility Theory]]>243757763306<![CDATA[Call for papers]]>2437647641644<![CDATA[IEEE Computational Intelligence Society]]>243C3C363<![CDATA[IEEE Transactions on Fuzzy Systems information for authors]]>243C4C458