This paper solves the task of complex objects approximation with digital output based on information approach to modeling. Propose a model of fuzzy rules and the inference algorithm on the rules. Describes the neuro-fuzzy model for a knowledge base generation. The approximation of known data sets and comparison of the results with results of other authors is performed. Using the example of knowledge bases generation of the expert diagnostic systems in medicine, oil industry and information security shows effectiveness of the proposed approach.
моделирование, аппроксимация, сложный объект, нечетко-продукционное правило, нейронечеткая модель, база знаний, modeling, approximation, complex object, fuzzy production rule, neuro-fuzzy model, knowledge base
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