Top.Mail.Ru
Preview

Vestnik Universiteta

Advanced search

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

https://doi.org/10.26425/1816-4277-2019-3-66-71

Abstract

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.

About the Authors

M. N. Belousova
State University of Management
Russian Federation

Belousova Mariya – Candidate of Economic Sciences

Moscow



A. A. Dashkov
State University of Management
Russian Federation

Dashkov Andrei – Candidate of Technical Sciences, 

Moscow



References

1. Berezyuk L. P. Organizatsionnoe obespechenie informatsionnoi bezopasnosti: ucheb. posobie [Organizational information security: textbook], Habarovsk: Izd-vo DVGUPS, 2008, 188 p.

2. Bukreev A. M., Goncharov V. N., Rybina T. N. [et al.]. Antikrizisnoe upravlenie na predpriyatii v usloviyakh obostreniya global’noi konkurentsii: monografi a [Crisis management in the enterprise in the face of increasing global competition], Minsk: Misanta, 2012, 434 p.

3. Zharikov V. V., Zharikov I. A., Evseichev A. I. Antikrizisnoe upravlenie predpriyatiem: uchebnoe posobie [Crisis Management Company: textbook], Tambov: Izd-vo Tamb. gos. tekhn. un-ta, 2009, 128 p.

4. Kamyshev E. N. Informatsionnaya bezopasnost’ I zashchita informatsii: ucheb. posobie [Information Security and Information Protection: text book], Tomsk: TPU, 2009, 95 p.

5. Leonenkov A. Nechetkoe modelirovanie v srede Matlab i Fuzzy Tech [Fuzzy simulation in Matlab and Fuzzy Tech],SPb: «BHV-Peterburg», 2005, 725 p.

6. Patlasov O. Yu., Sergienko O. V. Antikrizisnoe upravlenie. Finansovoe modelirovanie i diagnostika bankrotstva kommercheskoi organizatsii: uchebnoe posobie [Crisis management. Financial modeling and diagnostics of bankruptcy of a commercial organization], Omsk: Izd-vo NOU VPO «OGI», 2008, 544 p.

7. Perfi A. B. Sovershenstvovanie mekhanizma antikrizisnogo upravleniya na osnove primeneniya ekonomiko-matematicheskoi modeli kompleksnoi otsenki fi sostoyaniya organizatsii [Improving the mechanism of crisis management based on the application of the economic and mathematical model of a comprehensive assessment of the fi condition of organizations], Finansovaya analitika: problemy i resheniya [Financial analytics: problems and solutions], 2012, I. 22. Available at: https://cyberleninka.ru/article/n/sovershenstvovanie-mehanizma-antikrizisnogo-upravleniya-na-osnove-primeneniya-ekonomiko-matematicheskoy-modeli-kompleksnoy-otsenki (accessed 16.01.2019).

8. Yarushkina N. G. Osnovy teorii nechetkikh i gibridnykh sistem: ucheb. posobie [Fundamentals of the theory of fuzzy and hybrid systems], M.: Finansy i statistika, 2004, 320 p.


Review

For citations:


Belousova M.N., Dashkov A.A. Application of fuzzy modeling in the evaluation of crisis state of enterprises. Vestnik Universiteta. 2019;(3):66-71. (In Russ.) https://doi.org/10.26425/1816-4277-2019-3-66-71

Views: 498


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1816-4277 (Print)
ISSN 2686-8415 (Online)