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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, Issue 1, Pages 55–59
DOI: https://doi.org/10.14357/20718632220107 (Mi itvs759) 		 
DATA PROCESSING AND ANALYSIS

Method for classification of objects with fuzzy values of features

V. G. Sinuk, S. V. Kulabukhov

Federal State Budget Educational Institution of Higher Education "Belgorod State Technological University named after V.G. Shukhov", Belgorod, Russia
Full-text PDF (305 kB)
DOI: https://doi.org/10.14357/20718632220107
Abstract: The paper is dedicated to the development of classification method for objects, which have their features represented as fuzzy sets. The method is based on computation of the compatibility of the composite premise, which defines an individual class, and the fuzzy features of the objects. The compati-bility is represented by means of fuzzy truth values. The results of defuzzification of these values are used to compare the compatibilities and thus to determine the class of the object.
Keywords: extension principle, fuzzy truth value, linguistic variable.
Funding agency Grant number
Russian Foundation for Basic Research 20-07-00030
This work is supported by RFBR (project № 20-07-00030).
Bibliographic databases:
Document Type: Article
Language: English
Citation: V. G. Sinuk, S. V. Kulabukhov, “Method for classification of objects with fuzzy values of features”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 1, 55–59
Citation in format AMSBIB
\Bibitem{SinKul22}
\by V.~G.~Sinuk, S.~V.~Kulabukhov
\paper Method for classification of objects with fuzzy values of features
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2022
\issue 1
\pages 55--59
\mathnet{http://mi.mathnet.ru/itvs759}
\crossref{https://doi.org/10.14357/20718632220107}
\elib{https://elibrary.ru/item.asp?id=48174592}
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