Application of fuzzy modeling in the evaluation of crisis state of enterprises

The features of the proposed fuzzy model for assessing the crisis state of enterprises have been disclosed. The MATLAB software environment has been selected as the environment for building a fuzzy output system. In the model of a fuzzy assessment of the crisis state of enterprises, the following in...

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Autores principales: M. N. Belousova, A. A. Dashkov
Formato: article
Lenguaje:RU
Publicado: Publishing House of the State University of Management 2019
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Acceso en línea:https://doaj.org/article/0b9be41cca2245338646ec036e9ac9ae
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spelling oai:doaj.org-article:0b9be41cca2245338646ec036e9ac9ae2021-12-03T07:43:28ZApplication of fuzzy modeling in the evaluation of crisis state of enterprises1816-42772686-841510.26425/1816-4277-2019-3-66-71https://doaj.org/article/0b9be41cca2245338646ec036e9ac9ae2019-04-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1335https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The features of the proposed fuzzy model for assessing the crisis state of enterprises have been disclosed. The MATLAB software environment has been selected as the environment for building a fuzzy output system. In the model of a fuzzy assessment of the crisis state of enterprises, the following input linguistic variables have been highlighted: the relative level of financial status, the probability of bankruptcy, the level of information security, the level of innovation potential. The terms of the input variables and the result variable have been described. The rule base for fuzzy inference system has been formulated. The results of modeling the assessment of the crisis state of enterprises have been represented by a fuzzy inference procedure.M. N. BelousovaA. A. DashkovPublishing House of the State University of Managementarticlecrisis managemententerprisefuzzy logicterm setsmamdani algorithmSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 3, Pp 66-71 (2019)
institution DOAJ
collection DOAJ
language RU
topic crisis management
enterprise
fuzzy logic
term sets
mamdani algorithm
Sociology (General)
HM401-1281
Economics as a science
HB71-74
spellingShingle crisis management
enterprise
fuzzy logic
term sets
mamdani algorithm
Sociology (General)
HM401-1281
Economics as a science
HB71-74
M. N. Belousova
A. A. Dashkov
Application of fuzzy modeling in the evaluation of crisis state of enterprises
description The features of the proposed fuzzy model for assessing the crisis state of enterprises have been disclosed. The MATLAB software environment has been selected as the environment for building a fuzzy output system. In the model of a fuzzy assessment of the crisis state of enterprises, the following input linguistic variables have been highlighted: the relative level of financial status, the probability of bankruptcy, the level of information security, the level of innovation potential. The terms of the input variables and the result variable have been described. The rule base for fuzzy inference system has been formulated. The results of modeling the assessment of the crisis state of enterprises have been represented by a fuzzy inference procedure.
format article
author M. N. Belousova
A. A. Dashkov
author_facet M. N. Belousova
A. A. Dashkov
author_sort M. N. Belousova
title Application of fuzzy modeling in the evaluation of crisis state of enterprises
title_short Application of fuzzy modeling in the evaluation of crisis state of enterprises
title_full Application of fuzzy modeling in the evaluation of crisis state of enterprises
title_fullStr Application of fuzzy modeling in the evaluation of crisis state of enterprises
title_full_unstemmed Application of fuzzy modeling in the evaluation of crisis state of enterprises
title_sort application of fuzzy modeling in the evaluation of crisis state of enterprises
publisher Publishing House of the State University of Management
publishDate 2019
url https://doaj.org/article/0b9be41cca2245338646ec036e9ac9ae
work_keys_str_mv AT mnbelousova applicationoffuzzymodelingintheevaluationofcrisisstateofenterprises
AT aadashkov applicationoffuzzymodelingintheevaluationofcrisisstateofenterprises
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