Fuzzy-logic model for feasibility study of project implementation: Projects investment risk

Streltsova E., Borodin A., Yakovenko I.

Iranian Journal of Fuzzy Systems, vol.19, no.2, pp.1-15, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 19 Issue: 2
  • Publication Date: 2022
  • Doi Number: 10.22111/ijfs.2022.6784
  • Journal Name: Iranian Journal of Fuzzy Systems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, zbMATH
  • Page Numbers: pp.1-15
  • Keywords: Fuzzy logic, Investment risk, Logical-linguistic model
  • Azerbaijan State University of Economics (UNEC) Affiliated: Yes

Abstract

This article poses and solves the problem of evaluating the feasibility of innovative project’s financing in the face of uncertainty due to the need to combine both quantitative and qualitative characteristics. It is suggested to build a range of tools for assessing the investment risks on the basis of the mathematical fuzzy logic methods, which allow the use and accumulation of specialists’ knowledge. A logical-linguistic model allowing the establishment of relationship between input and output parameters when assessing the attractiveness level of projects has been developed on the basis of production rules compiled by experts. The model is implemented with the help of MATLAB system and allows, in conditions of uncertainty, making scientifically and quantitatively sound decisions when financing investment projects.