Оцінка інвестиційної привабливості промислових підприємств на базі теорії нечіткої логіки

Abstract

The purpose of the article is to develop a methodology for assessing the investment attractiveness of an industrial enterprise based on the theory of fuzzy logic, which allows to take into account quantitative and qualitative factors of influence. The paper analyzes the existing methods of assessing the investment attractiveness of the enterprise, identifies their advantages and disadvantages. A method for assessing the investment attractiveness of an industrial enterprise based on the theory of fuzzy logic, which allows to take into account quantitative and qualitative factors of influence, namely property status, liquidity, financial stability, business activity, profitability, enterprise management system was proposed. All the influencing factors that affect the assessment of the investment attractiveness of an industrial enterprise are described as linguistic variables, which are reflected in the inference tree and the system of equations. Based on the performed formalization and hierarchical classification of factors influencing the assessment of investment attractiveness of an industrial enterprise, the membership functions are constructed. The paper presents an example of the membership function for the level of personnel qualification and a system of fuzzy logical equations that characterize the membership surface of the variables to the corresponding term. On the example of an industrial enterprise, its investment attractiveness was assessed according to the developed methodology and appropriate conclusions were made. The developed methodology provides an objective assessment of the investment attractiveness of an industrial enterprise in decision making process which is being performed by management because it takes into account not only quantitative indicators but as well qualitative ones.