The purpose of the paper is to develop an information technology used to implement operational and quality management of rectification of the consequences of an emergency situation. Typical examples are given of malicious programs and the ways of their impact on the work of computers used to develop solutions for the elimination of the consequences of an emergency situation. To prevent unauthorized access to computers and their infection with malicious programs, preventive measures are recommended. The novelty of the paper is the development of an information technology to recover the encrypted or blocked by malicious programs data necessary to develop solutions for the elimination of the consequences of an emergency situation and the concept of building a fragment of an information system within which this information technology should be implemented. The authors consider an approach to the improvement of the information system for officials of the management bodies of the Ministry of Emergency Situations of Russia, developing a solution for the relief of the consequences of an emergency situation, which provides the protection of their personal computers from malicious programs.

The problem of multicriteria optimization in relation to the decisions made about organizing the material and technical support for equipment and personnel of the Ministry of the Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters (EMERCOM of Russia) in the context of emergency response on transport has been explored in this article. The existing approaches have been indicated, and another approach to building a single generalized criterion by the given partial criteria for the multicriteria optimization problem has been proposed. The verbal statement of the considered problem of multicriteria optimization has been provided. The goal of the study is to develop a method for solving this multicriteria optimization problem using fuzzy sets, fuzzy logic, and the Mamdani's fuzzy inference algorithm. A substantial example has been provided, illustrating the application of the stated theoretical provisions for solving the problem of choosing the best option for the equipment and personnel of the EMERCOM of Russia to liquidate the consequences of emergency situations on transport. In terms of novelty, it must be noted that the indicator (output variable) and parameters (input variables) of the problem have been defined ambiguously, fuzzily, which allows to use the efficient mathematical tools of the theory of fuzzy sets, fuzzy logic, and the Mamdani's fuzzy inference algorithm to solve this problem.