Showing papers in "Fuzzy Sets and Systems in 2010"

TL;DR: A bi-objective possibilistic mixed integer programming model to deal with closed-loop supply chain network design problems and an interactive fuzzy solution approach is developed by combining a number of efficient solution approaches from the recent literature.

TL;DR: A generalization of the Hukuhara difference of fuzzy numbers is proposed, using their compact and convex level-cuts to solve interval and fuzzy linear equations and fuzzy differential equations.

TL;DR: It is demonstrated that the kernel-based FCM algorithms produce a marginal improvement over standard FCM and GK for most of the analyzed data sets and in a number of cases highly sensitive to the selection of specific values of the kernel parameters.

TL;DR: This paper investigates fuzzy adaptive control schemes for a class of multi-input multi-output (MIMO) unknown nonlinear systems with known and unknown sign of the control gain matrix and proposes an adaptation proportional-integral (PI) law.

TL;DR: A new validity index is proposed that employs a compactness measure and a separation measure and shows the superior effectiveness and reliability of the proposed index in comparison to other indices.

TL;DR: A systematic investigation of a family of composed aggregation functions which generalize the Bonferroni mean and are capable of modeling the concepts of hard and soft partial conjunction and disjunction as well as that of k-tolerance and k-intolerance.

TL;DR: By taking the relationship among the time-varying delay, its upper bound and their difference into account, some less conservative LMI-based delay-dependent stability criteria are obtained without ignoring any useful terms in the derivative of Lyapunov-Krasovskii functional.

TL;DR: A systematization of various types of penalty based aggregation functions is provided, and it is shown how new aggregation functions can be constructed either analytically or numerically and many examples are provided.

TL;DR: An observer-based fuzzy neural sliding mode control scheme for interconnected unknown chaotic systems is developed and can avoid the time-consuming trial-and-error tuning procedure for determining the network structure of fuzzy neural network.

TL;DR: New inconsistency index of reciprocal matrix with fuzzy elements is introduced and newly designed method of logarithmic least squares for eliciting associated weights is applied.

TL;DR: This paper considers the notion of interval fuzzy negation and generalizes several notions related with fuzzy negations, such as the ones of equilibrium point and negation-preserving automorphism, and shows that the main properties of these notions are preserved in those generalizations.

TL;DR: The proposed control scheme can be guaranteed under the assumption that the unknown system functions are bounded by partly known nonlinear functions, and the designer can determine the approximation domain a priori via the bound of the reference signal, which is very important for the choice of the centers and widths of membership functions.

TL;DR: The paper contributes to the literature by revealing that fuzzy modeling approaches can effectively be used in the NSP in providing schedules which are more personalized and equitable for nurses, and more satisfying for hospital management.

TL;DR: Based on the derived fuzzy Takagi-Sugeno model, parallel distributed fuzzy LQR controller are designed to control the positions of the pitch and yaw angles in TRMS.

TL;DR: This paper introduces the concept of local reduction with fuzzy rough sets for decision system and shows that the local reduction can identify key conditional attribute and offer a minimal description for every single decision class.

TL;DR: This paper defines the concept of an ignorance function and uses it to determine the best threshold with which to binarize an image and introduces a method to construct such functions from t-norms and automorphisms.

TL;DR: The proposed recurrent self-evolving fuzzy neural network with local feedbacks (RSEFNN-LF) is applied to dynamic system identification, chaotic sequence prediction, and speech recognition problems and is compared with other recurrent fuzzy neural networks.

TL;DR: This paper examines the continuity of fuzzy directed complete posets (dcpos for short) based on complete residuated lattices and shows that a fuzzy partial order in the sense of Fan and Zhang and an L-order in thesense of Belohlavek are equivalent to each other.

TL;DR: The proposed method, which utilizes genetic algorithm to learn and merge multiple FCM models that are computed from subsets of the original data, is shown to be faster than other genetic algorithm-based designs while resulting in the FCMs of comparable quality.

TL;DR: This paper shows that the bullwhip effect and the amplification of the inventory variance (NSamp) can be effectively reduced in a two-stage, single-item, multi-period supply chain simulation.

TL;DR: This paper considers the problem of simultaneously estimating the state and unknown inputs in TS systems and designs an observer based on the known part of the fuzzy model, which guarantees an ultimate bound on the error signal.

TL;DR: This paper presents partitioning fuzzy K-means clustering models for interval-valued data based on suitable adaptive quadratic distances based on an adequacy criterion that measures the fit between the fuzzy clusters and their representatives.

TL;DR: By making use of the intrinsic fuzzy inclusion orders on the fuzzy power set, the relationships between L-ordered convergence spaces and strong L-topological spaces are researched, where L is a commutative unital quantale.

TL;DR: Minkowski type inequalities for the Sugeno integral on abstract spaces are studied in a rather general form, thus closing the series of papers on the topic dealing with special cases restricted to the (pseudo-)additive operation.

TL;DR: A delay system approach to the H"~ sampled- data control problem, where the closed-loop system with a sampled-data state feedback controller becomes a system with time-varying delay.

TL;DR: Two kinds of many-valued topological structures-fuzzifying topology and fuzzifying uniformity-are generated by this fuzzy pseudo-metric, and their properties are also investigated.

TL;DR: A general Myhill-Nerode type theory for fuzzy languages with membership values in an arbitrary set with two distinguished elements 0 and 1, which are needed to take crisp languages in consideration and it is proved that each fuzzy language possess a minimal deterministic automaton recognizing it.

TL;DR: The paper surveys the present state of knowledge on t-norm based predicate fuzzy logics with their double semantics: standard (the set of truth values being the real interval [0,1], general with abstract algebras of truth functions.

TL;DR: A new kind of lattice-valued convergence structures on a universal set, called stratified L-ordered convergence structures, are presented by modifying the axiom for stratification L-generalized convergence structures in the fuzzy setting so as to make use of the intrinsic fuzzy inclusion order on the fuzzy power set.

TL;DR: It is shown that any two states can be distinguished by some word with finite length and a minimization algorithm for L-VFAs is obtained.