Preventing the Financial Crises in the Corporate Systems Based on the Neuro-Fuzzy Models

Autor:	Klebanova Tamara S., Gvozdytskyi Vitalii S., Rudachenko Olgа O.
Jazyk:	English<br />Russian<br />Ukrainian
Rok vydání:	2019
Předmět:	financial crisis economic-mathematical model threat of bankruptcy corporate system fuzzy logic fuzzy neural networks Business HF5001-6182
Zdroj:	Bìznes Inform, Vol 2, Iss 493, Pp 140-146 (2019)
Druh dokumentu:	article
ISSN:	2222-4459 2311-116X
DOI:	10.32983/2222-4459-2019-2-140-146
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/6b9944e53a6d46649cc28db19ab27452 Zobrazit plný text záznamu View record in DOAJ