DEVELOPMENT OF SEMANTICALLY SUBSTANTIAL RULES FOR EXPERT SYSTEMS IN PROBLEMS WITH ENHANCED ACCURACY OF SOLUTION
Moscow State Technical University “Moscow Institute of Radio Electronics and Automation”, Department of Technical Electrodynamics and Electronics; Professor
K. A. Maykov
Bauman Moscow State Technical University, Department of Computer Software and Information Technology; Professor
S. M. Zhiryakov
Russian Aircraft Corporation “MiG”, Mikoyan Engineering Center, Moscow; Senior Engineer
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Abstract. A method is proposed for construction of logical-linguistic model of fuzzy inference amendments with the account for decisions made in a set of control cases. A modification of Sugeno fuzzy inference systems algorithm is developed on the base of generalized Faber — Schauder basis functions. The modified algorithm makes it possible to reduce decision errors with immutable semantics of initial definitions.
Keywords:
logical-linguistic model, Sugeno algorithm, Faber — Schauder functions
