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Streltsova, E., Borodin, A., Yakovenko, I.. (1401). Fuzzy-logic model for feasibility study of project implementation: Project’s investment risk. نشریه علمی دانشگاه سیستان و بلوچستان, 19(2), 1-15. doi: 10.22111/ijfs.2022.6784
E. Streltsova; A. Borodin; I. Yakovenko. "Fuzzy-logic model for feasibility study of project implementation: Project’s investment risk". نشریه علمی دانشگاه سیستان و بلوچستان, 19, 2, 1401, 1-15. doi: 10.22111/ijfs.2022.6784
Streltsova, E., Borodin, A., Yakovenko, I.. (1401). 'Fuzzy-logic model for feasibility study of project implementation: Project’s investment risk', نشریه علمی دانشگاه سیستان و بلوچستان, 19(2), pp. 1-15. doi: 10.22111/ijfs.2022.6784
Streltsova, E., Borodin, A., Yakovenko, I.. Fuzzy-logic model for feasibility study of project implementation: Project’s investment risk. نشریه علمی دانشگاه سیستان و بلوچستان, 1401; 19(2): 1-15. doi: 10.22111/ijfs.2022.6784

Fuzzy-logic model for feasibility study of project implementation: Project’s investment risk

Iranian Journal of Fuzzy Systems
مقاله 2، دوره 19، شماره 2، خرداد و تیر 2022، صفحه 1-15  XML اصل مقاله (1017.6 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijfs.2022.6784
نویسندگان
E. Streltsova1؛ A. Borodin* 2؛ I. Yakovenko1
1Platov South Russian State Polytechnic University (NPI), 346428 Novocherkassk, Russian Federation, Russian
2Plekhanov Russian University of Economics, 117997, Moscow, Russian Federation, Russian
چکیده
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.
کلیدواژه‌ها
Investment risk؛ logical-linguistic model؛ fuzzy logic
آمار
تعداد مشاهده مقاله: 589
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