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DEVELOPMENT OF SEMANTICALLY SUBSTANTIAL RULES FOR EXPERT SYSTEMS IN PROBLEMS WITH ENHANCED ACCURACY OF SOLUTION

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  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.

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