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Cloud Model-Based Comprehensive Evaluation Method for Entrepreneurs’ Uncertainty Tolerance

Author

Listed:
  • Pan Guo

    (Business School, Sichuan University, Chengdu 610064, China)

  • Xiaofeng Li

    (Business School, Sichuan University, Chengdu 610064, China)

  • Yanlin Jia

    (Business School, Sichuan University, Chengdu 610064, China)

  • Xu Zhang

    (Business School, Sichuan University, Chengdu 610064, China)

Abstract

The evaluation of entrepreneurs’ uncertainty tolerance (UT) is more meaningful, e.g., predicting their behaviors, making psychological counseling strategies for them, etc. In fact, it is an uncertain problem that 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 evaluation method for entrepreneurs’ UT which overcomes the inability of other methods 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 CM of 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 our method. Compared with other traditional evaluation methods, our method has been verified to be a more competitive method. Its results are more visualized and low information lost.

Suggested Citation

  • Pan Guo & Xiaofeng Li & Yanlin Jia & Xu Zhang, 2020. "Cloud Model-Based Comprehensive Evaluation Method for Entrepreneurs’ Uncertainty Tolerance," Mathematics, MDPI, vol. 8(9), pages 1-14, September.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1491-:d:408274
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    References listed on IDEAS

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    Cited by:

    1. Yujie Wang & Hong Chen & Ruyin Long & Shiyan Jiang & Bei Liu, 2022. "Evaluation of Occupational Health and Safety Management of Listed Companies in China’s Energy Industry Based on the Combined Weight-Cloud Model: From the Perspective of FPE Information Disclosure," IJERPH, MDPI, vol. 19(14), pages 1-17, July.

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