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2020, Volume 4
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Volume 4, Issue 1, June 2020, Page: 10-13
Improving the Altman Method for Assess the Creditworthiness of Enterprises with Economic Indicators in the Form of Fuzzy Numbers
Alevtina Shatalova, Department of Applied Mathematics, Kuban State University, Krasnodar, Russia
Konstantin Lebedev, Department of Applied Mathematics, Kuban State University, Krasnodar, Russia
Igor Shevchenko, Faculty of Economics, Кuban State University, Krasnodar, Russia
Boureima Bamadio, Faculty of Economics and Management, University of Social Sciences and Management of Bamako, Mali, Bamako
Received: Aug. 13, 2019;       Accepted: Sep. 6, 2019;       Published: May 28, 2020
DOI: 10.11648/j.engmath.20200401.12      View  86      Downloads  25
Abstract
The article describes the Altman Five-factor Model to assess the creditworthiness of the enterprise with the apparatus of the theory of fuzzy sets. There were two improvements. The early method used the square integral approximation for the accurately calculating of the quantitative assessment of creditworthiness and the apparatus of fuzzy sets for ordering the sets according to the degree of confidence of the probability obtained. The new method described in this article is expanded by presenting the input data as triangular fuzzy numbers. This article describes the simulation of the credit assessment procedure and the possibility of functioning of the model as well. This approach helps to adequately assess the creditworthiness of the enterprise, also to make it possible to predict the change in the result of the model due to possible errors in the input data. The results were tested at the Krasnodar cryptic plant.
Keywords
Assessment of the Creditworthiness, Altman Model, Fuzzy Sets, Membership Function, Simulation, Decision-making Under Uncertainty, Errors in the Financial Statements
To cite this article
Alevtina Shatalova, Konstantin Lebedev, Igor Shevchenko, Boureima Bamadio, Improving the Altman Method for Assess the Creditworthiness of Enterprises with Economic Indicators in the Form of Fuzzy Numbers, Engineering Mathematics. Vol. 4, No. 1, 2020, pp. 10-13. doi: 10.11648/j.engmath.20200401.12
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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