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Title: Method of fuzzy inference for one class of MISO-structure systems with non-singleton inputs
Authors: Sinuk, V. G.
Panchenko, M. V.
Keywords: Authors of BSTU
Issue Date: 2018
Publisher: IOP Publishing
Abstract: In fuzzy modeling, the inputs of the simulated systems can receive both crisp values and non-Singleton. Computational complexity of fuzzy inference with fuzzy non-Singleton 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.
Description: Sinuk V. G. Method of fuzzy inference for one class of MISO-structure systems with non-singleton inputs / V. G Sinuk, M. V. Panchenko // IOP Conf. Series: Materials Science and Engineering. - 2018. - Vol.327. - 042074.
URI: http://dspace.bstu.ru/jspui/handle/123456789/1971
Appears in Collections:IT-technologies

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