Title :
Logical filtering in solving fuzzy relational equations
Author :
Hirota, Kaoru ; Pedrycz, Witold
Author_Institution :
Dept. of Control Syst. Eng., Hosei Univ., Tokyo, Japan
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;
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
DOI :
10.1109/FUZZY.1995.409757
