Sharygin O. Information technology of decision-making support for the liquidation of fleeting technological emergencies on railway transport

The object of the research is the decision making process for the elimination of fast man-made emergency situations in rail transport; purpose is to improve the quality of decisions made by the elimination of man-caused swift-flowing emergencies oin railway transport; research methods are methods of artificial intelligence theory and techniques of mathematical logic to construct a fuzzy inference mechanism and methods of the theory of algorithms to develop productive algorithms and their complexity evaluation methods of the theory of programming for software development; theoretical results - mathematical model for information technology decision-making managers of elimination of man-caused swift-flowing emergencies oin railway transport, a method for evaluating the sensitivity of output mechanism for disaster management tasks with fuzzy input parameters, improved indices ranking fuzzy values, a method of evaluation the degree of readiness of the operator to decision-making in the elimination of man-caused swift-flowing emergencies oin railway transport; practical results - algorithms and software for the information technology and process automation forming recommendations for elimination of man-caused swift-flowing emergencies oin railway transport, developed a general methodology for training and evaluating the degree of preparedness experts to participate in the elimination of man-caused swift-flowing emergencies oin railway transport, developed a mobile version Software. The degree of implementation - implemented the results of dissertation research in the Department of combat training and specialized training - Training Center ranks of militarized security state territorial and sectoral associations "South-Western Railway", with the creation of software by "CDM Ukraine" in the learning process Department of Computer Science in Vinnytsia National Technical University. Sectors (industry) use - decision support systems, automated training systems.