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Linguistic fuzzy model identification
IEE Proceedings - Control Theory and Applications, 1995The paper presents an approach for identifying a fuzzy model composed of fuzzy-logic based linguistic rules for a multi-input/single-output system. The approach includes structure identification and parameter identification. We propose to utilise a fuzzy c-means clustering and genetic algorithm (GA) hybrid scheme to identify the structure and the ...
Hwang, H.-S., Woo, K.-B.
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VALIDATION OF FUZZY-LINGUISTIC MODELS
Journal of Cybernetics, 1978Abstract This article introduces a procedure for validating models that involve linguistic variables. First we discuss Zadeh's extension principle for fuzzy sets. Then we discuss the concept of a linguistic truth variable. Using the concepts developed in these sections we present a methodology for validation models involving fuzzy and linguistic ...
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Fuzzy linguistic model for interpolation
Chaos, Solitons & Fractals, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abbasbandy, S., Firozja, M. Adabitabar
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Stability analysis of variation model for linguistic fuzzy modeling
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004This paper presents two new approaches for linguistic modeling which are suitable for stability analysis of linguistic models. The first approach, which is named called Infinite Place model, is described by modified fuzzy Petri net and uses a new place definition based on physical infinity state. This method has some practical difficulties. In order to
Amir Abolfazl Suratgar +1 more
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Computers in Industry, 1983
Abstract Classical analytical and/or statistical approaches to analysis of engineering systems have failed when “ill-known” systems have to be studied. There is a certain complexity threshold beyond which it is very difficult to go using conventional mathematical tools.
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Abstract Classical analytical and/or statistical approaches to analysis of engineering systems have failed when “ill-known” systems have to be studied. There is a certain complexity threshold beyond which it is very difficult to go using conventional mathematical tools.
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Modeling linguistic qualifiers of uncertainty in a fuzzy database
International Journal of Intelligent Systems, 2000Summary: An interpretation of linguistic qualifiers of uncertainty is proposed in the context of fuzzy databases; these qualifiers are defined in the framework of possibility theory to express incomplete knowledge on the represented world. The uncertain and vague information represented in a fuzzy database is formalized based on the notion of ...
Bordogna, G, Pasi, G
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On generating linguistic rules for fuzzy models
1988This paper proposes a method for generating linguistic rules based on fuzzy reasoning with a collection of fuzzy or nonfuzzy data.Numerical examples are presented to show the efficiency of this method.
Xian-Tu Peng, Pei-Zhuang Wang
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A Model for Software Selection with Fuzzy Linguistic Information [PDF]
Journal of Convergence Information Technology, 2010 With respect to multiple attribute decision making problem with triangular fuzzy linguistic information, in which the attribute weights and expert weights take the form of real numbers, and the preference values take the form of triangular fuzzy linguistic variables, a operator for aggregating triangular fuzzy linguistic variables, such as the fuzzy ...
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A linguistic computation model for fuzzy evaluation system
SMC 2000 Conference Proceedings. 2000 IEEE International Conference on Systems, Man and Cybernetics. 'Cybernetics Evolving to Systems, Humans, Organizations, and their Complex Interactions' (Cat. No.00CH37166), 2002In situations such as multicriteria decision making or performance appraisal, linguistic values such as good, poor, or fair are usually used to represent results of evaluation. To grasp the vagueness of linguistic values, fuzzy numbers are introduced to represent uncertainties.
Pei-Di Shen, Hsuan-Shih Lee
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Construction of fuzzy linguistic model
Proceedings of 35th IEEE Conference on Decision and Control, 1996Using linguistic variables to describe the behavior of a hybrid system, which consists of a discrete event system and a continuous system, could make the design of the controller and verification of the system perform on an unified framework. In this paper, we show the construction of a fuzzy linguistic model from a given mathematical model of a ...
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