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Preventing the Financial Crises in the Corporate Systems Based on the Neuro-Fuzzy Models
Klebanova T. S., Gvozdytskyi V. S., Rudachenko O. O.

Klebanova, Tamara S., Gvozdytskyi, Vitalii S., and Rudachenko, Olhа O. (2019) “Preventing the Financial Crises in the Corporate Systems Based on the Neuro-Fuzzy Models.” Business Inform 2:140–146.
https://doi.org/10.32983/2222-4459-2019-2-140-146

Section: Economic and Mathematical Modeling

UDC 658

Abstract:
The article researches the topical problem of the threat of formation of financial crises in the corporate systems based on the neuro-fuzzy models which allow to timely predict a threat of bankruptcy and to warn it. It is noted that more than 50% of Ukraine’s GDP is produced by corporate enterprises, and, besides, there is a clear tendency of the corporations’ takeover of small and micro business entities. The given circumstance proves necessity of strengthening of attention to problems of bankruptcy regarding corporate enterprises as the defining link of the national economic infrastructure. Every year the aggravation of financial crises at corporate enterprises becomes more and more publicized, which requires immediate solution of this problem.

Keywords: financial crisis, economic-mathematical model, threat of bankruptcy, corporate system, fuzzy logic, fuzzy neural networks.

Fig.: 2. Tabl.: 3. Bibl.: 9.

Klebanova Tamara S. – Doctor of Sciences (Economics), Professor, Professor, Department of Economic Cybernetics, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Gvozdytskyi Vitalii S. – Candidate of Sciences (Economics), Lecturer, Department of Economic Cybernetics, Simon Kuznets Kharkiv National University of Economics (9a Nauky Ave., Kharkiv, 61166, Ukraine)
Email: [email protected]
Rudachenko Olhа O. – Doctor of Sciences (Economics), Associate Professor, Associate Professor, Department of Entrepreneurship and Business Administration, O. M. Beketov National University of Urban Economy in Kharkiv (17 Marshala Bazhanova Str., Kharkіv, 61002, Ukraine)
Email: [email protected]

List of references in article

[Legal Act of Ukraine] (2006). https://zakon.rada.gov.ua/rada/show/v0014665-06
Gvozditskiy, V. S. “Analiz podkhodov k modelirovaniyu otsenki sklonnosti predpriyatiya k bankrotstvu“ [Analysis of approaches to modeling the assessment of the propensity of the company to bankruptcy]. Upravlinnia rozvytkom, no. 3 (2011): 206-208.
Klebanova, T. S., and Hvozdytskyi, V. S. “Modeliuvannia otsinky zahrozy bankrutstva pidpryiemstv korporatyvnoho typu“ [Modeling the assessment of the threat of bankruptcy of enterprises of corporate type]. In Prykladnye aspekty modelyrovanyia sotsyalno-ekonomycheskykh system, 110-120. Berdiansk: FOP Tkachuk O. V., 2015.
Klebanova, T. S., and Gvozditskiy, V. S. “Otsenka sklonnosti predpriyatiy k bankrotstvu na osnove metodov nechetkoy logiki i nechetkikh neyronnykh setey“ [Evaluation of the propensity of enterprises to bankruptcy based on fuzzy logic methods and fuzzy neural networks]. Biznes Inform, no. 10 (2015): 165-170.
Matviichuk, A. V. “Modeliuvannia finansovoi stiikosti pidpryiemstv iz zastosuvanniam teorii nechitkoi lohiky, neironnykh merezh i dyskryminantnoho analizu“ [Modeling financial sustainability of enterprises using theories of fuzzy logic, neural networks and discriminant analysis]. Visnyk NAN Ukrainy, no. 9 (2010): 24-46.
Klebanova, T. S., Dymchenko, O. V., and Rudachenko, O. O. Otsinka, analiz i poperedzhennia kryzovoho stanu pidpryiemstv zhytlovo-komunalnoho hospodarstva [Assessment, analysis and prevention of the crisis situation of housing and communal services enterprises]. Kharkiv: KhNUMH im. O. M. Beketova, 2016.
Panasenko, O. V., and Hvozdytskyi, V. S. “Modeliuvannia otsinky zahrozy bankrutstva pidpryiemstv na osnovi nechitkoi lohiky“ [Modeling an assessment of the threat of bankruptcy of enterprises based on fuzzy logic]. Ekonomika: problemy teorii ta praktyky, vol. 2, no. 264 (2010): 529-545.
Chernov, V. G., and Suvorov, M. K. “Nechetkiye modeli v antikrizisnom upravlenii“ [Fuzzy models in crisis management]. Sovremennyye problemy prikladnoy matematiki i matematicheskogo modelirovaniya. Voronezh: VGTA, 2005.
“Pryntsypy zdiisnennia antykryzovoho upravlinnia“ [Principles of anti-crisis management]. http://library.if.ua/book/6/672.html

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