Geodesic
Method for classification of objects with fuzzy values of features
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2022), pp. 55-59 Cet article a éte moissonné depuis la source Math-Net.Ru

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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
Mots-clés : linguistic variable. 
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     author = {V. G. Sinuk and S. V. Kulabukhov},
     title = {Method for classification of objects with fuzzy values of features},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {55--59},
     year = {2022},
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     language = {en},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2022_1_a6/}
}
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V. G. Sinuk; S. V. Kulabukhov. Method for classification of objects with fuzzy values of features. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2022), pp. 55-59. http://geodesic.mathdoc.fr/item/ITVS_2022_1_a6/