Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2021, Issue 3, Pages 87–92
DOI: https://doi.org/10.14357/20718594210307
(Mi iipr111)
 

This article is cited in 1 scientific paper (total in 1 paper)

Decision analysis

Classification method for objects with fuzzy values of features

V. G. Sinuk, S. V. Kulabukhov

Belgorod Shukhov State Technological University, Belgorod, Russia
Full-text PDF (894 kB) Citations (1)
Abstract: The paper is dedicated to the development of classification method for objects, features of which are represented as fuzzy sets. The method is based on computation of the compatibility of the composite premise that describes an individual class, and fuzzy features of the objects. The compatibility 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
English version:
Scientific and Technical Information Processing, 2022, Volume 49, Issue 6, Pages 481–485
DOI: https://doi.org/10.3103/S0147688222060107
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. G. Sinuk, S. V. Kulabukhov, “Classification method for objects with fuzzy values of features”, Artificial Intelligence and Decision Making, 2021, no. 3, 87–92; Scientific and Technical Information Processing, 49:6 (2022), 481–485
Citation in format AMSBIB
\Bibitem{SinKul21}
\by V.~G.~Sinuk, S.~V.~Kulabukhov
\paper Classification method for objects with fuzzy values of features
\jour Artificial Intelligence and Decision Making
\yr 2021
\issue 3
\pages 87--92
\mathnet{http://mi.mathnet.ru/iipr111}
\crossref{https://doi.org/10.14357/20718594210307}
\elib{https://elibrary.ru/item.asp?id=46701364}
\transl
\jour Scientific and Technical Information Processing
\yr 2022
\vol 49
\issue 6
\pages 481--485
\crossref{https://doi.org/10.3103/S0147688222060107}
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  • https://www.mathnet.ru/eng/iipr111
  • https://www.mathnet.ru/eng/iipr/y2021/i3/p87
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
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    Abstract page:16
    Full-text PDF :2
    References:1
     
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