dc.contributor.author | Mokin, B. I. | en |
dc.contributor.author | Mokin, O. B. | en |
dc.contributor.author | Kosaruk, O. M. | en |
dc.contributor.author | Kalimoldaev, M. | en |
dc.contributor.author | Wojcik, W. | en |
dc.contributor.author | Muslimov, K. | en |
dc.contributor.author | Мокін, Б. І. | uk |
dc.contributor.author | Мокін, О. Б. | uk |
dc.contributor.author | Косарук, О. М. | uk |
dc.date.accessioned | 2022-07-13T12:19:02Z | |
dc.date.available | 2022-07-13T12:19:02Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Assessment of the knowledge quality level based on fuzzy models of its acquisition processes [Text] / B. I. Mokin, O. B. Mokin, O. M. Kosaruk [etc.] // Przegląd Elektrotechniczny. – 2020. – № 9. – P. 114-119. | en |
dc.identifier.issn | 0033-2097 | |
dc.identifier.uri | http://ir.lib.vntu.edu.ua//handle/123456789/35608 | |
dc.description.abstract | To assess the quality of knowledge acquisition by students of technical universities and to acquire relevant competencies, it is proposed to
apply the idea of integrating education and the fuzzy mathematical model, supplemented by a procedure of probabilistic processing of fuzzy values.
The fuzzy mathematical model is synthesized in the form of the Mamdani knowledge base, whose language variables characterize various parameters
of the process of knowledge acquisition by students. A technique of assessing the quality of the knowledge acquisition process with the use of a
synthetic model and suggested efficiency evaluation criteria have been developed. The testing of the suggested model and technique was performed
in Vinnytsia National Technical University, the results of testing proved their efficiency | en |
dc.language.iso | en | en |
dc.publisher | Stowarzyszenie Polskich Inżynierów Elektryków i Elektroników | pl |
dc.relation.ispartof | Przegląd Elektrotechniczny. № 9 : 114-119. | en |
dc.subject | technical education | en |
dc.subject | electrical and power engineering | en |
dc.subject | hybrid fuzzy modelling | en |
dc.title | Assessment of the knowledge quality level based on fuzzy models of its acquisition processes | en |
dc.type | Article | |
dc.identifier.doi | 10.15199/48.2020.09.24 | |