The models of anthropogenic emergencies for decision support systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.201736

Keywords:

emergency, fuzzy situation, expert information, decision support systems

Abstract

This paper addresses the issues related to controlling and preventing anthropogenic emergencies. The early detection of critical conditions, the accuracy, and reliability of monitoring system parameters is the key to the prevention of anthropogenic catastrophes of different levels.

A model of the emergency as a fuzzy situation has been proposed, based on the theory of fuzzy sets and the concept of a linguistic variable; a set of indicators has been determined that fully describe the factors affecting emergency. The set of indicators is a combination of both quantitative and qualitative data. It has been shown that the proposed fuzzy model is consistent with the characteristics and conditions of emergency occurrence at the objects of critical infrastructure and, at the same time, makes it possible to process both quantitative and qualitative indicators. This approach enables using fuzzy relations to form the similarity groups and to build rule bases in the decision support systems taking into consideration the similarity of situations, which improves the effectiveness of decision support systems.

Under extreme conditions, prompt and qualified managerial decision making is the most important task, which is solved, in particular, by the decision support systems. Since the construction of a rule base for an intelligent system requires the participation of experts, this paper has proposed a method for representing and processing expert data, which makes it possible to define the characteristics of their consistency and to choose the appropriate processing method. The proposed approaches to modeling emergencies could make it possible to detect situations in order to control and prevent them and to devise a set of activities in the case of an emergency, which would save human life and natural resources

Author Biographies

Vadim Yakovenko, University of Customs and Finance Vernadskoho str., 2/4, Dnipro, Ukraine, 49000

Doctor of Technical Sciences, Professor

Department of Computer Science and Software Engineering

Yuliia Ulianovska, University of Customs and Finance Vernadskoho str., 2/4, Dnipro, Ukraine, 49000

PhD, Associate Professor

Department of Computer Science and Software Engineering

Tetiana Yakovenko, Dnipro University of Technology D. Yavornytskoho ave., 19, Dnipro, Ukraine, 49005

PhD, Associate Professor

Department of Economics and Economic Cybernetics

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Published

2020-04-30

How to Cite

Yakovenko, V., Ulianovska, Y., & Yakovenko, T. (2020). The models of anthropogenic emergencies for decision support systems. Eastern-European Journal of Enterprise Technologies, 2(4 (104), 30–37. https://doi.org/10.15587/1729-4061.2020.201736

Issue

Vol. 2 No. 4 (104) (2020): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2020 Vadim Yakovenko, Yuliia Ulianovska, Tetiana Yakovenko

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