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

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.