DETERMINATION OF THE DEGREE OF RISK OF EMERGENCIES WITH THE USE OF FUZZY LOGIC

Yuliia V. Ulianovska; Vadim О. Yakovenko; Yuliia A. Mala; Tetiana Y. Yakovenko; Valeriia O. Avilova

doi:10.32836/2521-6643-2021.2-62.4

Yuliia V. Ulianovska University of Customs and Finance, Dnipro http://orcid.org/0000-0001-5945-5251
Vadim О. Yakovenko University of Customs and Finance, Dnipro https://orcid.org/0000-0001-7762-5410
Yuliia A. Mala University of Customs and Finance, Dnipro https://orcid.org/0000-0002-2539-4793
Tetiana Y. Yakovenko University of Customs and Finance, Dnipro https://orcid.org/0000-0003-1900-8283
Valeriia O. Avilova University of Customs and Finance, Dnipro

DOI: https://doi.org/10.32836/2521-6643-2021.2-62.4

Keywords: emergency situation, risk, probability, fuzzy logic, linguistic variables

Abstract

Summary. The study analyzes existing methods for determining the risk of accidents. The authors propose a modification of the method of assessing the risks of dangerous situations at work. The method is based on the theory of fuzzy sets and the concept of linguistic variable. This approach makes it possible to adapt it to any production by changing the criteria and names of input variables. Fuzzy Logic Toolbox, a MATLAB extension package, was used to model the system. The paper concludes that determining the degree of risk of any production makes it possible to form an appropriate to the degree of risk set of actions aimed at preventing emergencies.

Author Biographies

Yuliia V. Ulianovska, University of Customs and Finance, Dnipro

Ulianovska Yuliia Viktorivna
Graduate degree and rank: Associate Professor, of Technical Sciences,
Job: University of Customs and Finance, Dnipro,
Position: Associate Professor at the Department of Computer Science and Software Engineering,
Country: Ukraine,
Adress: 2/4 Vernadskogo str., Dnipropetrovsk, Ukraine, 49000,
E-mail: yuliyauyv@gmail.com
ORCID: http://orcid.org/0000-0001-5945-5251

Vadim О. Yakovenko, University of Customs and Finance, Dnipro

Yakovenko Vadim Оleksandrovich
Graduate degree and rank: Doctor of Technical Sciences, Professor,
Job: University of Customs and Finance, Dnipro,
Position: Professor at the Department of Computer Science and Software Engineering,
Country: Ukraine,
Adress: 2/4 Vernadskogo str., Dnipropetrovsk, Ukraine, 49000.
E-mail: yakovenko@ua.fm,
ORCID: https://orcid.org/0000-0001-7762-5410

Yuliia A. Mala, University of Customs and Finance, Dnipro

Mala Yuliia Anatoliivna
Graduate degree and rank: Associate Professor, PhD of Technical Sciences,
Job: University of Customs and Finance, Dnipro,
Position: Associate Professor at the Department of Computer Science and Software Engineering,
Country: Ukraine,
Adress: 2/4 Vernadskogo str., Dnipropetrovsk, Ukraine, 49000.
E-mail: malaya.ua@gmail.com,
ORCID: https://orcid.org/0000-0002-2539-4793

Tetiana Y. Yakovenko, University of Customs and Finance, Dnipro

Yakovenko Tetiana Yuriivna
Graduate degree and rank: Associate Professor, PhD Econ. Sciences,
Job: University of Customs and Finance, Dnipro,
Position: Associate Professor at the Department of Computer Science and Software Engineering,
Country: Ukraine,
Adress: 2/4 Vernadskogo str., Dnipropetrovsk, Ukraine, 49000.
E-mail: taniav@i.ua,
ORCID: https://orcid.org/0000-0003-1900-8283

Valeriia O. Avilova, University of Customs and Finance, Dnipro

Avilova Valeriia Oleksandrivna
Graduate degree and rank: master's degree, Computer Sciences.
Job: Loopme, Ukraine, Dnipro,
Position: Junior Frontend Developer
Country: Ukraine
Adress: Street Starokozatska, 37, Dnipro, Ukraine, 49000
E-mail: misa.avilova@gmail.com

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