Logical filtering in solving fuzzy relational equations

Author

Hirota, Kaoru ; Pedrycz, Witold

Author_Institution

Dept. of Control Syst. Eng., Hosei Univ., Tokyo, Japan

Volume

2

fYear

1995

fDate

20-24 Mar 1995

Firstpage

679

Abstract

The paper introduces an idea of logical filtering viewed as a new tool for solving fuzzy relational equations. Considering the panoply of the existing methods, the proposed approach can be classified as a semi-analytic method in the sense it departures from the individual analytical solutions to the individual equations in the system and combines them through an optimization process of logical filtering (masking). Several types of filtering are studied and provided with the detailed learning schemes

Keywords

fuzzy logic; fuzzy set theory; fuzzy systems; learning (artificial intelligence); optimisation; fuzzy relational equations; fuzzy set theory; learning schemes; logical filtering; optimization; semi-analytic method; Control systems; Equations; Filtering; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Knowledge based systems; Optimization methods; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int

Conference_Location

Yokohama

Print_ISBN

0-7803-2461-7

Type

conf

DOI

10.1109/FUZZY.1995.409757

Filename

409757