ANALYSIS OF THE SUBJECT AREA OF CRISIS MANAGEMENT ON RECEIVING A SIGNAL ABOUT AN EMERGENCY

Abstract

Purpose. The article analyzes crisis management subject area on receiving a signal about an emergency in crisis management center (CMC). Statistical data on emergencies for the period 2016-2020 have been provided. A review and analysis of Russian and foreign research works in the field of development and application of information technology during disaster response stage have been carried out. Based on the results of the analysis, the task to formalize a disaster response stage by crisis management, develop the model of emergency classification using machine learning methods has been set. The functional model of the subject area “Crisis Management Center performance on receiving a signal about an emergency” has been presented. The main stages of ontology creation of the considered subject area have been formed, instances of the ontological model have been decomposed and identified, a set of properties-relations of the components has been defined, a flow chart of the model has been presented. Methods. To formalize the disaster response process by crisis management the authors of the article have used the method of functional simulation.In order to compile the semantics of the subject area three main methods of ontology building have been defined: frame method, production rule method, semantic networks. Findings. To formalize the process of making management decisions by crisis managers the functional model according to the IDEF0 standard has been developed. The composition order of ontological model “Crisis Management Center performance on receiving a signal about an emergency” has been determined, the main components and properties- relations have been identified. Research application field. The obtained results will make it possible to formalize the considered process of making decisions by crisis managers, identify patterns and define areas requiring development in disaster response management support system. Conclusions. In the course of further work, it is planned to compile an emergency database, develop the emergency classification model in order to improve emergency management when responding to man-made disasters.