This article is cited 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

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.

DOI: 10.14357/20718594210307

 English version: , 2022, 49:6, 481–485

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