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Modeling of financial stability of enterprises using the theory of fuzzy logic and neural networks

Pavlova Svetlana Anatolyevna  (Candidate of Technical Sciences, Associate Professor, Academy of Law and Management of the Federal Penitentiary Service)

The article discusses the features of using intelligent methods for modeling and forecasting economic processes. In particular, a methodical approach has been developed for analyzing the financial stability of an enterprise, which is based on the theory of fuzzy logic and neural networks, and provides a high level of adequacy of the formalization of expert knowledge about the impact of various indicators on the financial condition of a business entity.

Keywords:fuzzy logic, enterprise, modeling, financial stability.
 

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Citation link:
Pavlova S. A. Modeling of financial stability of enterprises using the theory of fuzzy logic and neural networks // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№02. -С. 85-88 DOI 10.37882/2223-2966.2022.02.27
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