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

Pan Guo, Xiaofeng Li, Yanlin Jia and Xu Zhang
Additional contact information
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

Mathematics, 2020, vol. 8, issue 9, 1-14

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.

Keywords: uncertainty tolerance; comprehensive evaluation method; entrepreneurs; cloud model (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-7390/8/9/1491/pdf (application/pdf)
https://www.mdpi.com/2227-7390/8/9/1491/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:8:y:2020:i:9:p:1491-:d:408274

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().