Reasoning modelling methods

Method of fuzzy inference for one class of MISO-structure systems with fuzzy inputs

V. G. Sinuk, M. V. Panchenko

Belgorod Shukhov State Technological University

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.

Bibliographic databases:

•