Showing papers in "Fuzzy Sets and Systems in 1993"
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TL;DR: A number of parametrized families of OWA operators are introduced; maximum entropy, S-OWA, step and window are among the most important of these families and the evaluation of quantified propositions using these operators is studied.
1,211 citations
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TL;DR: The forecast of the enrollments of the University of Alabama is carried out and a fuzzy time series model is developed using historical data, which is tested on the basis of its robustness andvantages and problems.
1,188 citations
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TL;DR: The definition of fuzzy time series is given, some properties of fuzzyTime series are explored, and procedures to develop fuzzy timeseries models are discussed.
1,048 citations
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TL;DR: Algorithms which enable forecasting attainable periods are developed which look valid and applicable to further analyses of other questions and items on questionnaires and using these methods simultaneously as well as the traditional Delphi method may prove a really effective result.
640 citations
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TL;DR: The properties of several measures of similarity of fuzzy values are presented and compared and it is shown that several properties are common to all measures but some properties do not hold for all of them.
422 citations
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TL;DR: An application of this result to fuzzy control is presented which shows that this type of Sugeno controller is a universal controller.
291 citations
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TL;DR: The proposed two-phase approach guarantees both nondominated and balanced solutions for solving both the crisp and the fuzzy multiple objective decision making problems.
248 citations
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TL;DR: A comparative simulation study on various processes shows that the performance of the new scheme improves considerably, in terms of set-point and load disturbance responses, over the PID controllers well-tuned using both the classical Ziegler-Nichols formula and the more recent Refined Ziegle Nicholas formula.
248 citations
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TL;DR: It is proposed in the present paper that the indicator for set inclusion must be two-valued for crisp sets, and the investigation results in a very general class of indicators based on the bold union operation, and in a complete measure-theoretic characterization of this class.
243 citations
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TL;DR: The use of fuzzy number over interval of confidence instead of probability, and possibilitic considerations for evaluating the range value and interval of the fuzzy reliability is proposed.
227 citations
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TL;DR: A sufficient condition to guarantee the stability of the proposed fuzzy control system is proposed in terms of Lyapunov's method and can be applied to the design of a Fuzzy-PID control system.
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TL;DR: A new index that is useful for ordering (ranking) of fuzzy numbers is proposed and its relationship to the 1981 Yager's index is explained.
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TL;DR: Relationships between conceptual and computational platforms of fuzzy sets and neurocomputations and the proposed architecture of logic processors implements the paradigm of distributed processing with the aid of logic-driven neurons is discussed.
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TL;DR: In comparison to the algorithms existing in the literature and producing function-like models, the proposed fuzzy models designed with the aid of fuzzy clustering is of a relational character allowing for multidirectional accessibility.
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TL;DR: This work provides a unifying approach to this selection process of selecting a crisp element based on information provided by a fuzzy set, and puts the defuzzification methods of mean of maxima and center of gravity in the same framework.
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TL;DR: The simplex algorithm for linear programming with random variable coefficients is discussed and the solution and distribution problem of this new fuzzy random programming are studied.
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TL;DR: This article showed that the Choquet integral can represent some useful quantities such as supremum, infimum, essential supremum and essential infimum for the L-estimators including α-trimmed mean.
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TL;DR: It is found from the investigation that: the reasoning precision, the calculation time and the number of possible input states to which a given reasoning method responds differ according to each reasoning method.
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TL;DR: This paper presents an application of fuzzy linear programming to the linear multiobjective solid transportation problem and gives efficient solutions as well as an optimal compromise.
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TL;DR: An extended Zimmermann approach, called augmented max-min approach, is developed for solving this auxiliary bi-objective linear programming problem and other multiple objective linear programming problems.
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TL;DR: In this paper, a fuzzy control model with well-founded semantics is introduced to explain the concepts applied in fuzzy control, assuming that the domains of the input and output variables for the process are endowed with equality relations, that reflect the indistinguishability of values lying closely together.
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TL;DR: The fuzzy distance of two C NF sets can be defined, and by this distance, closeness and similarity of CNF sets, as well.
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TL;DR: This paper derives the membership function of the shortest distance by using a fuzzy linear programming approach, and proposes an algorithm for finding the single most vital arc in a network.
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TL;DR: A logic programming system which uses a theory of intuitionistic fuzzy sets to model various forms of uncertainty is presented, which allows knowledge representation and inference under uncertainty in the form of rules suitable for expert systems.
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NEC1
TL;DR: This paper proposes an architecture of neural networks that have interval weights and interval biases, and develops a learning algorithm derived from the cost function in a similar manner as the BP (Back-Propagation) algorithm.
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TL;DR: The concepts of correlation and correlation coefficient of fuzzy numbers are introduced, which could be used to measure the interrelation of fuzzyNumbers.
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TL;DR: A new and general approach is suggested to revise definitions and properties of logical connictives for fuzzy sets based on solutions of a functional equation between implications and conjunctions reflecting the residuation principle.
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TL;DR: The fuzzy extension of the CML procedure is made, which extends the fuzzy clustering algorithms of Trauwaert, Kaufman and Rousseeuw by adding a penalty term, and finds that the penalized FCM is more meaningful and effective than FCM.
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TL;DR: Some criteria for selecting a fuzzy subspace to be subdivided are proposed and compared with each other by computer simulations and the proposed method is also compared with other fuzzy classification methods.
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TL;DR: This paper test some widely used fuzzy implication operators with respect to the recently introduced Smets-Magrez axioms and presents a unified generalization of Zadeh's compositional rule of inference.