Modeling ecological and economic security of the metallurgical enterprises with the use of fuzzy logic

Ryabkov I.L.1
1 Череповецкий государственный университет, Russia

 Download PDF | Downloads: 15 | Citations: 1

Journal paper

Economic security (РИНЦ, ВАК)
опубликовать статью | оформить подписку

Volume 1, Number 3 (July-september 2018)

Citation:

Ryabkov, I. L. (2018). Modeling ecological and economic security of the metallurgical enterprises with the use of fuzzy logic. Economic security, 1(3), 225-230. https://doi.org/10.18334/ecsec.1.3.100522

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=42687921
Cited: 1 by 26.03.2022

Abstract:
The paper proposes for consideration the modeling of the environmental and economic safety of metallurgical enterprises using the fuzzy logic apparatus. An array of selected and ranked factors, combined into two variables, allows you to get the calculation result with a maximum level of confidence. In the future, based on the assessment of environmental and economic safety for each enterprise, it is possible to compile a list of the most significant threats, develop countermeasures to ensure sustainable development indicators.

Keywords: modeling, environmental and economic safety, metallurgical enterprises, fuzzy logic apparatus

Похожие статьи:

   Approach to modeling educational migration using fuzzy logic and agent-oriented modeling (Мигранова Л.И., Атнабаева А.Р.) Journal of Economics, Entrepreneurship and Law. Num. 12 / 2020

  Cost management of an innovative chemical project based on fuzzy logical approaches (Беилин И.Л., Хоменко В.В.) Russian Journal of Innovation Economics. Num. 4 / 2017

References:

1. Veretekhin A.V., Yachmeneva V.M. Assessment of the environmental and economic safety of an industrial enterprise using fuzzy logic tools // Scientific and Technical Sheets of SPbSPU. Economic sciences. 2017. V. 10, No. 3. P. 151.
2. Ivantsova E.A., Kuzmin V.A. Management of environmental and economic safety of industrial enterprises // Bulletin of Volgogr. state un-that. Ser. 3, Econ. Ecol. 2014. No. 5 (28). P. 142.
3. Leonenkov A.V. Fuzzy modeling in MATLAB and fuzzy TECH. – St. Petersburg: BHV-Petersburg, 2005.P. 535.
4. Rogachev A.F. Kuzmin V.A. Modeling of ecological and economic systems using fuzzy inference algorithms // Bulletin of the Lower Volga Agro-University Complex: Science and Higher Professional Education. 2013. No. 1 (29). P. 244.
5. Federal State Statistics Service of Russia. www.gks.ru.

Смотрите также:

   Analysis of the economic security of the Russian metallurgical complex based on the assessment of the bankruptcy probability (Булатенко М.А., Кириллова Е.Д.) Economic security. Num. 2 / 2021

   Logical and linguistic modeling for enterprise risk management (Яковлева Е.А., Толочко И.А. и др.) Journal of Economics, Entrepreneurship and Law. Num. 7 / 2021

   Service transformation of internal processes in manufacturing companies (Двоянов С.В., Кельчевская Н.Р.) Leadership and Management. Num. 4 / 2022

   Fuzzy-multiple analysis of the dynamics of the IT-industry development based on the system of indicators (Сахарова Л.В., Тищенко Е.Н. и др.) Informatization in the Digital Economy. Num. 2 / 2022

   Hedge fund investment decision support system based on logical-linguistic modeling and digital twin (Воронова Н.С., Яковлева Е.А. и др.) Russian Journal of Innovation Economics. Num. 1 / 2023

Страница обновлена: 15.04.2025 в 02:05:31