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

  • Nəşrin Növü: Article / Article
  • Cild: 19 Say: 2
  • Nəşr tarixi: 2022
  • Doi nömrəsi: 10.22111/ijfs.2022.6784
  • jurnalın adı: Iranian Journal of Fuzzy Systems
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, zbMATH
  • Səhifə sayı: pp.1-15
  • Açar sözlər: Fuzzy logic, Investment risk, Logical-linguistic model
  • Adres: Bəli

Qısa məlumat

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.