ISSN 2071-8594

Russian academy of sciences

Editor-in-Chief

Gennady Osipov

V.G. Sinyuk, M.V. Panchenko Method of fuzzy inference for one class of MISO-structure systems with fuzzy inputs

Abstract.

In fuzzy modeling, the inputs of the simulated systems can receive both crisp values and fuzzy. Computational complexity of fuzzy inference with fuzzy inputs corresponds to an exponential. This paper describes a new method of inference, based on the theorem of decomposition of a multidimensional fuzzy implication and a fuzzy truth value. This method is considered for fuzzy inputs and has a polynomial complexity, which makes it possible to use it for modeling large-dimensional MISO-structure systems.

Keywords:

logical type of inference, decomposition theorem, fuzzy truth value.

PP. 33-39.

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