http://doi.org/10.35668/2520-6524-2022-2-06
Kliuiev Ye. I. — PhD in Engineering, Associate Professor of the National Aviation University, Cosmonaut Komarov Avenue, 1, Kyiv, Ukraine, 03058; +38 (099)319-72-51; jij_@ukr.net; ORCID: 0000-0001-7572-1142
Zasanska S. V. — PhD in Economics, Associate professor, Head of Department at Ukrainian Institute of Scientific and Technical Expertise and Information, Antonovich Str., 180, 02000; Kyiv, Ukraine; +38 (044) 521-00-10; zasanski@gmail.com; ORCID: 0000-0003-3819-0404
Mikhailenko D. O. — Student of the National Aviation University, Cosmonaut Komarov Avenue 1, Kyiv, Ukraine,03058; +38 (099) 627-26-06; f0x3n73@gmail.com; ORCID: 0000-0001-6280-6016
Kliuieva K. Ye. — Postgraduate Student of the National Aviation University, Cosmonaut Komarov Avenue1, Kyiv, Ukraine, 03058; +380 (067) 787-50-20; klyuyeva_kateryna@ukr.net
JUSTIFICATION OF THE STUDY OBJECT CHOICE BY MEANS OF THE THEORY OF FUZZY SETS
Abstract. The article is devoted to determining the affiliation of a certain object (element) to a given set. The main stages of substantiation of the choice of research objects are considered in the article (On), which depend on the goal (for example, applicants for the position, (On – object n)), which meet the requirements of organizations (Ol), (Ol — object l). The matrix apparatus, expert method and means of fuzzy set theory were used in the formation of the list of On objects. Compared with those obtained in the case of generally accepted control algorithms — fuzzy control in some cases gives better results, which has been experimentally proven by many scientific studies. The proposed approach can be used to evaluate the effectiveness of various research objects. Fuzzy management is especially useful when technological processes are too complex to analyze using conventional quantitative methods, or when available sources of information are interpreted at a qualitative level inaccurately or vaguely. To automate the calculations, it is recommended to use software that must match and be written in PHP using the My SQL database.
Keywords: model, object, fuzzy set theory, features, membership function, binary relation, matrix, expert method, efficiency, control algorithm.
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