Genetic Algorithm for Fuzzy Logical Equations Solving in Diagnostic Expert Systems

  • Authors:

  • Alexander Rotshtein;Hanna Rakytyanska

  • Affiliations:

  • -;-

  • Venue:
  • Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
  • Year:
  • 2001

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Abstract

Application of the inverse logical inference in the expert systems of diagnosis is considered. The inverse logical inference allows to restore the causes by observed consequences using fuzzy relational matrix. Diagnosis decision finding requires fuzzy logical equations system solution. The genetic algorithm of optimization based on crossover, mutation and selection of the initial set of chromosomes is proposed for fuzzy logical equations system solving. Computer simulation illustrates the algorithm efficiency. The suggested genetic algorithm can find application in expert systems of technical and medical diagnosis and quality control.