Analysis of approaches to solving risk assessment tasks within the framework of modern concepts

Sergeev I.Y.1, Ph.D. of Engineering Sciences; Molotkov Y.I.2, Holder of an Advanced Doctorate (Doctor of Science) in Engineering Sciences; Martinovich И.V.1; Shkaberina T.V.1; Byshmakin A.A.1
1 Siberian Fire and Rescue Academy EMERCOM of Russia
2The Siberian Institute of Management- branch of «Russian Presidential Academy of National Economy and Public Administration»

The work is devoted to the application of modern approaches in assessing the security of territories from man-made threats, taking into account their regional characteristics. When solving practical tasks of ensuring the security of the territory, a system of monitoring and control of possible man-made emergencies is needed, as well as the collection and analysis of objective data on possible threats and parameters of emergency situations. The formation of the monitoring system is based on a scientific and methodological apparatus, which allows for the gradual construction of the system to determine its components and elements that take into account the threats of emergencies. The article presents the result of the analysis of the subject area, considers various approaches to assessing the state of emergency protection both in Russia and abroad. The article considers the tendency to change approaches in ensuring the security of the territory, which consists in shifting the emphasis on preventive impact, i.e. management of the most dangerous risks of the territory, by improving methods and approaches in assessing territorial risks. The analysis of the studied object and its specifics is carried out for the possibility of applying the fuzzy set theory approach to solving risk assessment problems within the framework of modern concepts of critical infrastructure viability. It is determined that one of the possible solutions to the risk assessment problem may be the development of a comprehensive methodology using fuzzy logic tools based on the Harrington desirability function.

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