Solution of classification in management decisions in conditions of fuzzy initial data using hybrid neuro classifier

The results of methodology application of verification (testing, checking) fuzzy production rules base on consistency and completeness of the example fuzzy production rules database were obtained in this paper. Rules were composed on the psychological testing results of group applicants for professional suitability. The verification on consistency and completeness algorithms of rules base were described. The efficiency of algorithm using for the base of fuzzy production rules in the model of the hybrid neural classifier in solving classification problem for professional suitability specialists was researched.