Economic Bulletin of the National Mining University

 

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Article

Issue:2021 №4 (76)
Section:Finances
UDK:338.314
DOI:https://doi.org/10.33271/ebdut/76.126
Article language:Ukrainian
Pages:126-134
Title:Algorithm for constructing an integral indicator of financial security of an enterprise using a fuzzy-logical approach
Authors:Myachin V. H., Ukrainian State University of Chemical Technology,
Stovpnyk O. V., Ukrainian State University of Chemical Technology,
Karpenko V. A., Ukrainian State University of Chemical Technology,
Miroshnichenko O. V., Ukrainian State University of Chemical Technology
Annotation:Methods. The methodological basis of the research is the scientific works of domestic and foreign scientists and leading experts in the field of financial analysis and modeling of economic processes, as well as statistical and financial reporting data that are publicly available. To construct an integral indicator of the financial security of an enterprise, a fuzzy conclusion is used. Results. It is shown that for assessing the level of the financial security indicator of an enterprise, the fuzzy set method is the most effective in comparison with linear models, since it takes into account the uncertainty of the internal and external environment of the enterprise as much as possible. The fuzzy expert system actually allows you to use a significant number of input parameters, both quantitative and qualitative. The specific choice of input parameters should be justified, on the one hand, by their weight, and on the other hand, by the complexity of collecting data necessary to assess the state of financial security of the enterprise. To implement the proposed fuzzy-logical approach to determining the integral indicator of financial security of an enterprise (Financial Security (FS)), Financial coefficients are used that characterize solvency (Current Ratio (CR)), financial independence (Equity Ratio (ER)), profitability of total assets of the enterprise (Return on Assets (ROA)) and affect the target indicator. Novelty. The general structure of the fuzzy logic expert system constructor is presented as a data transformation within the system itself. For a fuzzy-logical approach, in order to determine the integral indicator of financial security of an enterprise Y123 (Financial Security (FS)), three input indicators are selected that affect the target indicator, namely: the current liquidity ratio X1(CR), the autonomy ratio X2 (ER) and the return on total assets ratio X3(ROA). Practical value. Indicators that make it possible to assess the financial security of enterprises to the greatest extent are proposed, and practical recommendations are given for the ranges of their optimal values for constructing an integral indicator of the financial security of enterprises using a fuzzy-logical approach. 
Keywords:Financial security of the enterprise, Integral indicator, Fuzzy Expert System, Current liquidity ratio, Financial autonomy coefficient, Return on total assets coefficient
File of the article:EV20214_126-134.pdf
Literature:
  • 1. Korpan, O.V. (2017). Metody otsiniuvannia rivnia finansovoi bezpeky pidpryiemstva. Efektyvna ekonomika, (1). Retrieved from http://www.economy.nayka.com.ua/?op=1&z=5401.
  • 2. Kampo, H.M., Dochynets N.M., & Havrylets O.V. (2017). Otsinka finansovoi stiikosti pidpryiemstv Ukrainy. Naukovyy visnyk Uzhhorodskoho universytetu, Ser. «Ekonomika». Issue 1(49),. T.1, 150-158.
  • 3. Yelisieieva, O.K., & Simon, H.S. (2016). Analiz hroshovykh potokiv firmy yak skladova formuvannia stratehii staloho rozvytku. Biznes-Inform, 1(2.), 380-384.
  • 4. Herasymenko, S.S., & Holovach, N.A. (2003). Peredbachennia finansovoho stanu pidpryiemstva pry otsintsi yoho zdatnosti do prodovzhennia diialnosti. Actualni problemy ekonomiky, (4), 2-4.
  • 5. Hladchenko, T.M. (2001). Ekonomichna bezpeka pidpryiemnytskoi diialnosti. Aktualni problemy mizhnarodnykh vidnosyn. Zbirnyk naukovykh prats, Issue 26. (pp. 295-299). Kyiv: VTsP «Kyivskyy universytet», Instytut mizhnarodnykh vidnosyn.
  • 6. Altman, E.I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. The Journal of Finance, (4), 589-609. doi.org/10.1111/j.1540-6261.1968.tb00843.x
  • 7. Toffler, R., & Tishaw, H. (1977). Going, going, gone - fourfactors which predict. Accountancy, March, 50-54.
  • 8. Parshyna, O.A., Miachyn, V.H., & Kutsynska, M.V. (2016). Obhruntuvannia ta pobudova funktsii nalezhnosti v nechitko-lohichnii modeli otsinky finansovoho stanu pidpryiemstva ta ryzyku nastannia yoho bankrutstva. Visnyk ONU imeni Mechnykova, T.21, Issue 5(48), 86-91.
  • 9. Miachyn, V.H., & Kutsynska M.V. (2015). Vyznachennia priorytetnosti pokaznykiv finansovoho stanu, obranykh dlia otsinky ryzyku bankrutstva promyslovykh pidpryiemstv metodom nechitkykh mnozhyn. Naukovyi visnyk Mizhnarodnoho humanitarnoho universytetu, Issue 14, 159-163.
  • 10. Tereshchenko, O.O. (2004). Antykryzove finansove upravlinnia na pidpryiemstvi. Kyiv: KNEU.
  • 11. Krakos Yu.B., & Razhon R.O. (2008). Upravlinnia financovoiu bezpekoiu pidpryiemstv. Ekonomika ta upravlinnia pidpryiemstvamy mashynobudivnoi haluzi: problemy teorii ta praktyky.
  • 1(1), 86-97.
  • 12. Blank, I.A. (2004). Upravlenie finansovoy bezopasnostiu predpriyatiya. Kiev: Elga, Nika-Centr.
  • 13. Sosnovska, O.O. (2019). Systema ekonomichnoi bezpeky pidpryiemstv zviazku: Kyiv. Tsentr uchbovoi literatury.
  • 14. Diyazitdinova, A.R. & Saprikina. A.A. (2018). Primenenie nechyotko-mnozhestvennogo metoda pri ocenke finansovoj ustojchivosti infokommunikacionnyh kompaniy. Infokommunikacionnye tehnologii, T.16, (3), 310-317. doi.org/10.18469/ikt.2018.16.3.09
  • 15. Starynets, O.H. (2018). Otsinka finansovoho stanu telekomunikatsiinoho pidpryiemstva v systemi antykryzovoho upravlinnia. Hlobalni ta natsionalni problemy ekonomiky, Issue 21, 407-411.
  • 16. Chaika, T.Yu., Loshakova, S.Ye., Vodoriz Ya.S. (2018). Rozrakhunok koefitsiientiv likvidnosti za balansom, urakhuvannia finansovykh i vyrobnychykh osoblyvostey pidpryiemstva pid chas zdiysnennia koefitsiientnoho analizu likvidnosti. Ekonomika ta suspilstvo, (12), 900-908.
  • 17. Voloshchuk, L. O. (2015). Innovatsiinyi rozvytok ta ekonomichna bezpeka promyslovykh pidpryiemstv: problemy kompleksnoho upravlinnia: monohrafiia. Odesa: Bondarenko, M.O.
  • 18. Davydenko, N.M. (2017). Investytsiina pryvablyvist pidpryiemstv. Aktualni problemy rozvytku ekonomiky rehionu, Issue 13, T. 1, 59-68.
  • 19. Korol, T., & Korodi, A. (2012). An evaluation of effectiveness of fuzzy logic model in predicting the business bankruptcy. Institute for Economic Forecasting, (3), 92-107.
  • 20. Pegat, A. (2009). Nechetkoe modelirovanie i upravlenie. Moskva: BINOM, Laboratoriya znaniy.