ASSESSMENT OF THE QUALITY OF THE EFFICIENCY OF THE APPLICATION OF THE MULTI-CRITERION MODEL OF THE IDENTIFICATION OF EMERGENCY SITUATIONS

Abstract

The task of evaluating the quality of the model refers to the analysis of complex processes. Performance evaluation is carried out in the following sequence: determination of factors, indicators and criteria; formation of a decision-making model; interpretation of the obtained result. However, for each specific task, it is necessary to form its own unique list of factors, indicators and performance criteria, followed by the determination of the decision-making model.

The purpose of the work is: to assess the quality of the application of the multi-criteria model of identification of abnormal situations at critical infrastructure facilities.

In, a multi-criteria model for identifying abnormal situations based on a set of features was described. This model is based on the object of identification and the image of a critical situation, as well as a set of their signs. Next, to solve the problem of identification of an abnormal situation using a multi-criteria model, it is necessary to normalize the set of signs and form a generalized sign of the object of identification and the image of an abnormal situation. Having received the generalized features, the model builds a working field for solving the recognition problem, namely: it determines the degree of correspondence between the image and the object of identification, and also makes a decision about the time and place of occurrence of a critical situation at critical infrastructure facilities.The paper presents the results of testing the multi-criteria model for identifying abnormal situations based on a set of signs at critical infrastructure facilities.

The main factor of the quality of the built model is the assessment of the effectiveness of its indicators, in terms of identifying and solving the problem of identifying abnormal situations at critical infrastructure facilities.

The obtained results demonstrate that the proposed model can be implemented in operational critical infrastructure facilities based on performance indicators.