Adaptive Fuzzy Predictive Approach in Control

Autor:	Anton Romanov, Aleksey Filippov, Nadezhda Yarushkina
Rok vydání:	2023
Předmět:	tendencies General Mathematics predictive analytic Computer Science (miscellaneous) ontology time series Engineering (miscellaneous) context
Zdroj:	Mathematics Volume 11 Issue 4 Pages: 875
ISSN:	2227-7390
Popis:	This article studies the approach to solving the problem of controlling the complex organizational and technical systems based on hybrid models. We propose a new component of intelligent decision support that is integrated with control systems. The proposed component is based on fuzzy logic and knowledge engineering. We present a model of ontology to form the context of data analysis and time series modeling. The ontological context allows us to represent trends of the analyzed object indicators. An expert can add a set of fuzzy rules to the ontology for systems control based on the fuzzy inference. The proposed approach allows reducing the time of analysis and interpretation of the results. Experimental results confirm the correctness and effectiveness of the approach proposed in this article.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bb6d2f614e67b9619bfd5dabe1cba11 https://doi.org/10.3390/math11040875 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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