Method for classification of objects with fuzzy values of features
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2022), pp. 55-59
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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.
Mots-clés : linguistic variable.
@article{ITVS_2022_1_a6,
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},
publisher = {mathdoc},
number = {1},
year = {2022},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ITVS_2022_1_a6/}
}
TY - JOUR AU - V. G. Sinuk AU - S. V. Kulabukhov TI - Method for classification of objects with fuzzy values of features JO - Informacionnye tehnologii i vyčislitelnye sistemy PY - 2022 SP - 55 EP - 59 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ITVS_2022_1_a6/ LA - en ID - ITVS_2022_1_a6 ER -
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/