Renewal of the causes by observed effects by means of fuzzy relations matrix and genetic algorithm

Author

Rotshtein, Alexander ; Rakytyanska, Hanna

Author_Institution

Industrial Engineering and Management Department, Jerusalem College of Technology - Machon Lev, Israel

Volume

2

fYear

2001

fDate

25-28 July 2001

Firstpage

703

Abstract

Application of inverse logical inference in diagnostic expert systems is considered. Diagnosis decision finding requires fuzzy logical equation system solutions. The genetic algorithm for optimization based on crossover, mutation and selection of the initial set of chromosomes is proposed for fuzzy logical equation system solving. Computer simulation illustrates the algorithm efficiency. The suggested genetic algorithm can find application in expert systems for technical and medical diagnosis and quality control

Keywords

diagnostic expert systems; diagnostic reasoning; fuzzy logic; fuzzy set theory; genetic algorithms; medical expert systems; uncertainty handling; chromosomes; computer simulation; crossover; diagnostic expert systems; fuzzy logic; fuzzy relations matrix; fuzzy set theory; genetic algorithm; inverse logical inference; medical diagnosis; mutation; optimization; quality control; selection; technical diagnosis; Application software; Biological cells; Computer simulation; Diagnostic expert systems; Equations; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic mutations;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944688

Filename

944688