Considerations on the Research Interest to the Application of Fuzzy Sets Method for the Analysis of the Effectiveness of Innovation Projects in Dissertations in Russia
Elena MuzykoThe paper presents a critical review of dissertations defended in Russia during the period 1998–2017 devoted to the application of fuzzy sets theory for the evaluation of investment and innovative projects. The author analyzed about 150 dissertations. The analysis has shown that the methods of the fuzzy sets theory are actively used by scientists. The explosion of interest to the application of the fuzzy sets method to investment analysis is observed in 2003–2006 after defending a doctoral dissertation by A.O. Nedosekin. The author highlights the appearance of a number of works in the area of technical and physicomathematical sciences related to the use of fuzzy sets method for the analysis of investment and innovation activities. In these research studies the authors usually examine the issue from the point of technical execution – substantiate the algorithms and methods of assessment and decision-making under the conditions of uncertainty, automatize this process. Russian authors study the investment potential of industrial, construction, high-tech, IT-enterprises, as well as the industrial complex as a whole, transport and scientific and innovation infrastructure that indicates the gradual deepening of specialization in this field of research. Despite the fact that Russian researchers show rather a high interest in the fuzzy sets method, only a small part of the works uses it in combination with the real options method (9 %) to assess the effectiveness of investment and innovative projects. The author comes to the conclusion that to analyze the effectiveness of venture financing of innovative projects, the combination of real options method and fuzzy sets method does not occur in the works of Russian authors.