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Fuzzy disjunctive and conjunctive canonical forms: a foundation for interval-valued fuzzy techniques
Autor:
I.B. Turksen
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
Fuzzy disjunctive and conjunctive canonical forms, FDCF, and FCCF, respectively, should be used as a foundation for interval-valued approximate reasoning. It has been shown that in the combination of linguistic concepts, membership values generated b
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
The authors define the notions of fuzzy positive implicative hyper K-ideals of types 5, 6, 7 and 8. Then, by presenting many examples, we show that these notions are different. After that, we state and prove some theorems which determine the relation
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
The subject is fuzzy linguistic hedging, used to modify membership functions. Our investigation will exceed the traditional definition given by Zadeh (and others), upon which our research is based. We present new and more general definitions for four
Autor:
M. Tafazoli, K. Demirli
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
This paper summarizes work undertaken in the area of modeling non-linearities such as hysteresis using subtractive clustering based Sugeno type fuzzy modeling approach. Two alternative approaches to developing a fuzzy model for hysteresis are propose
Autor:
Cao Bing-yuan
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
This paper aims at turning a fuzzy posynomial geometric programming into another one with variables limited by upper and lower bounds. By the aid of fuzzy geometric inequality, the latter is to be changed into a monomial fuzzy posynomial geometric on
Autor:
Kaoru Hirota, Yoshinori Arai
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
A car type recognition system, using methods of the R&FHPR/FF (Rough and Fuzzy Hierarchical Pattern Recognition using Fixation Feedback), infer just about correctly based on precise input data. Although, it is difficult, features are extracted comple
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
This paper considers the problem of detecting local linear substructures of a system in a high-dimensional data space by applying a fuzzy clustering technique. We propose a linear fuzzy clustering method using eigenvalues of the fuzzy scatter matrix
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
This paper describes a fuzzy satisficing method for multi-objective optimization problems using a genetic algorithm (GA). A multi-objective design problem with constraints is expressed as a constraint satisfaction problem by introducing an aspiration
Autor:
Romano Scozzafava, Giulianella Coletti
Publikováno v:
Scopus-Elsevier
Conditional events and coherent conditional probability theory can be a proper framework for dealing with fuzzy theory, both from a semantic and a syntactic point of view: the former aspect has been emphasized in a previous NAFIPS conference, while h
Autor:
T. Akiyama, K. Mizutani
Publikováno v:
Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
It is important in travel behaviour analysis to construct precise discrete choice models. Stochastic models based on the random utility theory such as logit models and fuzzy reasoning models can be combined in order to create advanced models for the