ВИКОРИСТАННЯ ТЕОРІЇ НЕЧІТКИХ МНОЖИН ТА БАГАТОКРИТЕРІЙНОГО ВИБОРУ АЛЬТЕРНАТИВ ДЛЯ ОПИСУ ДІЯЛЬНОСТІ ПІДПРИЄМСТВА В УМОВАХ НЕВИЗНАЧЕНОСТІ

Abstract

The task of decision-making in conditions of uncertainty is the choice of a rational decision, formed under the influence of certain and uncertain factors, which are quantitatively and qualitatively described by the features. Methods of decision-making on fuzzy models allow you to easily and objectively evaluate alternatives by individual criteria. The analysis of scientific works and the practice of evaluating the company's activities indicate an insufficient level of its analytical and mathematical support, as well as the need for more detailed consideration of multicriteria choice of alternatives to describe the company's activities and decision-making in uncertainty. Thus, the article presents various classifications of uncertainty of the enterprise, their characteristics and sources. The classification of methods of research of activity of the enterprise in the conditions of uncertainty is developed. Key concepts and definitions of fuzzy set theory are considered. The use of fuzzy set theory and multi-criteria choice of alternatives for describing the activities of the enterprise and decision-making in conditions of uncertainty is specified. The paper considers a multi-criteria choice of alternatives based on the intersection of fuzzy sets, based on the fuzzy advantage relationship, using the fuzzy input rule, based on additive convolution. The ranking of alternatives on the set of linguistic vector estimates is also revealed. The advantages and disadvantages of using different multi-criteria choices of alternatives and fuzzy logic in general are highlighted. The main problem of multi-criteria selection using fuzzy models is the presentation of information about the relationship between the criteria and ways to calculate their integrated estimates. Methods based on different approaches give different results. Each approach has its limitations and features, and the user must get an idea of them. Before applying one or another method of decision making. The heuristic approach provides the widest opportunities for presenting information. Analysis of fuzzy decision-making methods allows us to formulate requirements for further development in this area.