A decision method for venture capital investments with fuzzy information

Using the basic principles of traditional risky decision analysis and the characteristics of venture capital investment, a decision method for venture capital investment problems with fuzzy information is proposed. In the method, the probabilities of states and the benefits of projects were expressed in the forms of triangular fuzzy numbers, and the approach to calculating fuzzy expected benefit, fuzzy mean variance and fuzzy variance coefficient were presented. Further, an approach to converting fuzzy numbers into their expected values was also presented to select the most desirable alternative(s) or rank alternatives. The proposed method overcomes the shortages which occurs in traditional risky decision analysis methods and expands scope of applications. Finally, a numerical example was given to show the use of the proposed method.