BASIC APPROACHES TO INVESTMENT RISKS MODELING

Authors

DOI:

https://doi.org/10.30888/2709-2267.2023-20-01-001

Keywords:

investment risks, evaluation, evaluation methods, fuzzy logic, neural networks

Abstract

The paper highlights the need for analysis and assessment of enterprise investment risks in conditions of uncertainty and suggests the use of a neuro-fuzzy investment risk assessment model.

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References

Ansell, J. (1992). Risk, Analysis, Assessment and Management. New York, J.Wiley & Sons Ltd.

Vitlinskyi, V.V. (1996). Analysis, assessment and modeling of economic risk. Kyiv, Demiur.

Harrington Edwin C., Jr. (1965). The Desirability Function. Industrial Quality Control. April. pp. 494 - 498.

Matviychuk, A.V. (2011). Artificial intelligence in economics: neural networks, fuzzy logic. Kyiv, KNEU.

Vovk V.M. (2007) Mathematical methods of researching operations in economic and production systems. Lviv, Ivan Franko National University of Lviv.

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Published

2023-09-30

How to Cite

Kozenkova, V. (2023). BASIC APPROACHES TO INVESTMENT RISKS MODELING. Sworld-Us Conference Proceedings, 1(usc20-01), 43–49. https://doi.org/10.30888/2709-2267.2023-20-01-001

Issue

No. usc20-01 (2023): Promising scientific researches of Eurasian scholars '2023

Section

Abstracts

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This work is licensed under a Creative Commons Attribution 4.0 International License.