Assessment of Investment Attractiveness of Small Enterprises in Agriculture Based on Fuzzy Logic

This article examines the important task of determining the investment attractiveness of small enterprises in agriculture. In the process of assessing investment attractiveness, it is necessary to take into account not only the level of development and specifics of the enterprise, but also various uncertainty factors that may affect the financial result. To solve this problem, a method based on the use of fuzzy set theory is proposed. Within the framework of this method, indicators specific to the industry and region are analyzed, as well as financial and economic indicators characteristic of agriculture. The rules based on which decisions are made, are formulated in the form of logical formulas that include various parameters such as the volume of investment, the investment period and the level of risk. In general, an index of investment attractiveness is predicted, which can take values from 0 to 1 and has a clear interpretation. The proposed scientific approach can be used as a basis for developing support systems for expert decision-making when assessing the investment attractiveness of small enterprises in agriculture.