Importance The article analyzes and evaluates the efficiency of hi-tech investment projects developed under high risk and high profit expectations. Conventional methods of investment analysis are not always applicable due to various types of uncertainty and assessed alternatives. Hence, to choose the project for investing venture capital, it is reasonable to apply Decision Support System (DSS) based on various decision-making methods. Objectives The research aims at articulating a new DSS approach, which would allow considering multiple indicators, including qualitative ones, agree a project evaluation and regard possible scenarios of the external environment development in order to compare and assess alternative projects. I also build models for making decisions through DSS, apply various methods for substantiating the project chosen for venture capital investing, find a solution and compare the results. Methods The research relies upon the analytic hierarchy process and analytic network process. I also suggest using such methods that would combine various principles of coordinating alternatives and their assessment. The objectives are addressed with the most common DSS, including my own Expert Decision Support System. Results I proved the efficiency of the proposed approach for substantiating the choice of a project for venture capital investing. If various DSS are used, it will help apply modified mathematical methods in order to increase the quality of analytical rationale for any decision. Conclusions and Relevance The project for venture capital investing was chosen using modern methods and tools. The proposed approach may be applied in investment and venture capital funds.
Keywords: venture capital fund, investment analysis, decision-making, method, Kendall coefficient of concordance
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