Intelligent information technology for multi-criteria vulnerability assessment of gas stations to the main types of accidents

Abstract

The paper considers the creation of intelligent information technology (IT) for multi-criteria vulnerability assessment of gas stations (GSs) to the main types of accidents. The proposed IT consists of 10 consecutive stages. The implementation of the first stages was related to the definition of the main types of accidents for GSs and consideration of GS vulnerability from the point of view of possible adverse consequences, for which 41 criteria were created by experts. It is proposed to apply the analytical hierarchy process for the analysis of expert data in order to obtain a secondary space of vulnerability criteria, without considering the lost lives. On the basis of the secondary space of criteria, data on the GS network was collected and a scheme for their preprocessing and coding was proposed. The GS vulnerability assessment was carried out on the basis of the developed generalized model. To interpret the results of GS vulnerability assessment, the use of fuzzy sets in the form of trapezoidal membership functions is proposed. Intelligent IT for GS vulnerability assessment is implemented in the form of a decision support system (DSS). The decision-maker, based on the entered data according to the vulnerability criteria of a certain GS, will receive a preliminary value of the GS vulnerability and an explanation of how it was obtained. A component of the DSS is a formed knowledge base on preevaluated GS with the possibility of editing and expanding it. The use of the proposed intelligent IT of multicriteria GS vulnerability assessment and DSS based on it provides an opportunity to make informed decisions on the assessment of potentially vulnerable facilities and risk management.