Importance A new development strategy of the EMERCOM of Russia requires a new approach set up by 2030 to shift from operational response towards risk management, prevention and elimination of large hazardous factors, risks and threats. Active investment policies of the State is one of the requirements for successful implementation of governmental programs. Growing volume of investment, formation and implementation of the effective strategy of investment development require to create and integrate scientifically proven investment management models and methods in the specific operations of the EMERCOM of Russia. Objectives The research creates and presents computer-assisted representation of the mathematical model for systemic support of decision-making in management of investment projects for emergency prevention. Methods The research involves the fuzzy modeling methodology. Results We set the Decision Support System model in investment project management for prevention of emergency situations. The model is based on the fuzzy inference scheme under the Mamdani algorithm. The system has been devised in MathLab using the Fuzzy Logic Toolbox package. We performed a comparative analysis of the models, investment projects on the basis of the system and prioritized their finance. Conclusions and Relevance The research has practical significance since the system can be used as a versatile method to manage investment projects for emergency prevention.
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