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| A Method for Multi-Stage Mixed Information Decision-Making Based on Prospect Theory |
| ZHANG Faming，ZHANG Linqian，ZHU Shuqi |
| Guilin University of Electronic Technology, Guilin, Guangxi, China |
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Abstract Considering the risk preference attitude of decision makers, a new prospect theory decision-making method based on dynamic reference points is proposed for the multi-stage decision-making problem with mixed information. The intuitionistic fuzzy entropy calculation formula is designed to transform the mixed information into information utility value. In addition, on the basis of the traditional single-stage reference point setting method, the dynamic reference point with the characteristics of decision makers’ risk preference fluctuation is introduced and obtained by comprehensively calculating the development status and development trend. Then, the weight range of criteria is determined by the entropy weight method, an objective optimization model is constructed considering the degree of deviation in each stage, and the dynamic prospect value of each alternative is calculated based on the prospect theory. Finally, this decision-making method is applied to solve the case of commercial banks’ selection of loan financing for small and micro enterprises, illustrating its feasibility and rationality.
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Received: 21 February 2023
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