NEURO-FUZZY MODEL OF COUNTRY'S INVESTMENT POTENTIAL ASSESSMENT
| Autor: | Andriy Matviychuk, I. Miroshnychenko, O. Lukianenko |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Economics and Econometrics
Artificial neural network Neuro-fuzzy Operations research Computer science 05 social sciences Investment (macroeconomics) Fuzzy logic Range (mathematics) 0502 economics and business Potential assessment 050211 marketing Investment opportunities 050203 business & management |
| Zdroj: | FUZZY ECONOMIC REVIEW. 24 |
| ISSN: | 2445-4192 1136-0593 |
| DOI: | 10.25102/fer.2019.02.04 |
| Popis: | The article proposed a three-level hierarchical approach to the analysis, evaluation and forecasting of the investment potential of the country. The use of a combination of neural networks and fuzzy logic is proposed as a mathematical tool. In the course of the study, the main groups of indicators of the country's investment opportunities were derived. The cluster analysis of the countries of the world using the self-organizing maps was carried out. A model for assessing the country's investment potential based on fuzzy logic methods has been developed. The experiments demonstrated the advantages and high efficiency of neuro-fuzzy models for making management decisions. This approach can be used in a wide range of economic and managerial tasks |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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