Results 211 to 220 of about 1,157 (262)
Some of the next articles are maybe not open access.
A FUZZY LINGUISTIC IRS MODEL BASED ON A 2-TUPLE FUZZY LINGUISTIC APPROACH
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2007Information Retrieval Systems (IRSs) based on an ordinal fuzzy linguistic approach present some problems of loss of information and lack of precision when working with discrete linguistic expression domains or when applying approximation operations in the symbolic aggregation methods.
Enrique Herrera-Viedma +3 more
openaire +1 more source
A method to invert a linguistic fuzzy model
International Journal of Systems Science, 1998A method is proposed to compute an exact inversion of a linguistic multiple-input single-output fuzzy model with triangular pairwise overlapping membership functions and the weighted fuzzy mean defuzzification. Equations are given which describe the parameters of the inverse model as a function of the parameters of the forward model. The inverse, model
Péter Baranyi +5 more
openaire +1 more source
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.
openaire +1 more source
GENERALIZED FUZZY LINGUISTIC CUBIC B-SPLINE CURVE MODEL FOR UNCERTAINTY FUZZY LINGUISTIC DATA
Advances and Applications in Discrete Mathematics, 2020Fuzzy linguistic data is difficult to analyze. It becomes a problem to describe the data in the form of smooth and continuous generic figure. Therefore, the generalization of the problems of linguistic data in the form of curves and surfaces requires a new model such as fuzzy linguistic B-spline by using fuzzy linguistic approach.
Mohd Syafiq Bidin +3 more
openaire +3 more sources
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 ...
openaire +1 more source
Fuzzy linguistic model for interpolation
Chaos, Solitons & Fractals, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abbasbandy, S., Firozja, M. Adabitabar
openaire +1 more source
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
openaire +1 more source
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.
openaire +1 more source
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.
openaire +1 more source
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
openaire +3 more sources
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
openaire +1 more source