Cloud model-based comprehensive evaluation method for entrepreneurs' uncertainty tolerance

Abstract

The evaluation of entrepreneurs' uncertainty tolerance (UT) ismoremeaningful, e.g., predicting their behaviors, making psychological counseling strategies for them, etc. In fact, it is an uncertain problemthat simultaneously contains randomness and fuzziness in evaluating entrepreneurs' UT. Hence, it is difficult to solve it by traditional evaluation methods. This paper presents a cloud model-based comprehensive evaluationmethod for entrepreneurs'UTwhich overcomes the inability of othermethods to take into account randomness and fuzziness simultaneously. First, five UT levels are divided. Then, an evaluation index system which contains 14 secondary level indexes and four primary level indexes is constructed, and an analytic hierarchy process (AHP) method is used to obtain the weights for the secondary level indexes. Subsequently, the backward cloud generator (BCG) and virtual cloud model (CM) are used to obtain the CMof evaluation indexes, and cloud chart of evaluation results are generated by forward cloud generator (FCG). Finally, five core start-up founders of a high-tech company in China are chosen for a case study to illustrate ourmethod. Comparedwith other traditional evaluationmethods, our method has been verified to be a more competitive method. Its results are more visualized and low information lost.