APPLICATION OF GAME THEORY, FUZZY LOGIC AND NEURAL NETWORKS FOR ASSESSING RISKS AND FORECASTING RATES OF DIGITAL CURRENCY
Bebeshko B. Malyukov V. Lakhno M. Skladannyi P. Sokolov V. Shevchenko S. Zhumadilova M.
31 December 2022Little Lion Scientific
Journal of Theoretical and Applied Information Technology
2022#100Issue 247390 - 7404 pp.
In this scientific work is aimed to obtain mathematical tools for solving the problem of finding optimal investment strategies in digital cryptocurrencies (hereinafter referred to as the CX) or a CX set from the side of investor/investors were proposed. The solution was found on the basis of the application of the games theory, the theory of fuzzy sets and artificial neural networks (ANN). The developed model, which allows one to obtain an algorithm for the success forecast assessment of the investment procedure in the CX by the investor, which can be then implemented in one of the modules of the intellectual information system for the CX rates forecasting. The scientific novelty of the results is that for the first time to solve the problem of the CX market evaluation in the context of the CX investment problem, gaming approaches based on solving a bilinear quality game in fuzzy production, as well as ANN were used.
Digital Cryptocurrency , Forecasting , Fuzzy Logic , Games Theory , Neural Networks
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State National University of Trade and Economics, Kyiv, Ukraine
National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Borys Grinchenko Kyiv Metropolitan University, Kyiv, Ukraine
Yessenov University, Aktau, Kazakhstan
State National University of Trade and Economics
National University of Life and Environmental Sciences of Ukraine
Borys Grinchenko Kyiv Metropolitan University
Yessenov University
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