Support for management decision-making under emergency risks based on the use of methods for analyzing multidimensional statistical data
Abstract
Support for management decision-making under emergency risks based on the use of methods for analyzing multidimensional statistical data
Incoming article date: 02.09.2023The article is devoted to applied issues of improving regional security management processes through the development of methods for analyzing data on emergency situations. In order to identify patterns in the occurrence of emergency situations, multidimensional methods of processing statistical data were used. A multidimensional classification of data in the field of emergency situations based on fuzzy logic is proposed. The classification was performed using a fuzzy inference system with clear membership functions. As statistical data, data on emergency situations of a man-made, natural and biological-social nature that occurred in the federal districts of Russia in 2020, including data on dead and saved people, were considered. An analysis of data samples on regional emergency situations was carried out according to 5 criteria, and clustering of regions was carried out.
Keywords: emergency situations, fuzzy multidimensional clustering, fuzzy logic, fuzzy inference system, computer program, mathematical model, forecasting, decision making