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 deci- sion finding requires fuzzy logical equations system solution. The genetic algo- rithm 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 diag- nosis and quality control.
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© 2001 Springer-Verlag Berlin Heidelberg
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Rotshtein, A., Rakytyanska, H. (2001). Genetic Algorithm for Fuzzy Logical Equations Solving in Diagnostic Expert Systems. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_39
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DOI: https://doi.org/10.1007/3-540-45517-5_39
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