Research Information System
11th International Conference on Theory and Applications Soft Computing, Computing with Words and Perceptions and Artificial Intelligence, ICSCCW 2021, Antalya, Turkey, 23 - 24 August 2021, vol.362 LNNS, pp.645-653
Investment projects can be evaluated relative to many criteria: from the point of view of their social significance, the scale of their influence on the environment, the degree of involvement of labor resources, etc. However, the central place in these assessments belongs to the economic efficiency of the investment project. Analysis and estimation of the economic efficiency of investment projects is one of the difficult problems in the economy, production and decision-making. Its complexity is specified by presence of uncertainty and set of knowingly conflicting criteria that are both quantitative and qualitative nature. The paper proposes a fuzzy approach to assessing the economic efficiency of investment projects. This approach is based on a verbal model, which is implemented through the use of a fuzzy inference system on the example of six real alternative investment projects, financial and economic indicators of which are selected from open sources. The fuzzy inference system is formed on six logically consistent implications, which are implemented by Lukachevich’s rule.