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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Main Authors: M. N. Belousova, A. A. Dashkov
Format: Article
Language:English
Published: Publishing House of the State University of Management 2019-04-01
Series:Вестник университета
Subjects:
Online Access:https://vestnik.guu.ru/jour/article/view/1335
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author M. N. Belousova
A. A. Dashkov
author_facet M. N. Belousova
A. A. Dashkov
author_sort M. N. Belousova
collection DOAJ
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.
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spelling doaj.art-0b9be41cca2245338646ec036e9ac9ae2024-03-26T14:22:58ZengPublishing House of the State University of ManagementВестник университета1816-42772686-84152019-04-0103667110.26425/1816-4277-2019-3-66-711312Application of fuzzy modeling in the evaluation of crisis state of enterprisesM. N. Belousova0A. A. Dashkov1State University of ManagementState University of ManagementThe 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.https://vestnik.guu.ru/jour/article/view/1335crisis managemententerprisefuzzy logicterm setsmamdani algorithm
spellingShingle M. N. Belousova
A. A. Dashkov
Application of fuzzy modeling in the evaluation of crisis state of enterprises
Вестник университета
crisis management
enterprise
fuzzy logic
term sets
mamdani algorithm
title 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_short 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
topic crisis management
enterprise
fuzzy logic
term sets
mamdani algorithm
url https://vestnik.guu.ru/jour/article/view/1335
work_keys_str_mv AT mnbelousova applicationoffuzzymodelingintheevaluationofcrisisstateofenterprises
AT aadashkov applicationoffuzzymodelingintheevaluationofcrisisstateofenterprises