A method for multi-stage group decision making based on evidence theory under hybrid preference information

被引：0
|
作者：
Zhang F. [1 ]
Zhang L. [1 ]
Han J. [1 ]
机构：
[1] School of Business, Guilin University of Electronic Technology, Guilin
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2023年 / 43卷 / 12期
基金：
中国国家自然科学基金;
关键词：
conflict coefficient; evidence theory; hybrid preference information; incentive factor; multi-stage decision making;
D O I：
10.12011/SETP2022-2903
中图分类号：
学科分类号：
摘要：
In order to solve the aggregation problem of hybrid preference information in multistage group decision-making environments, evidence theory is introduced to uniformly measure real number, interval number, linguistic information, and linguistic intuitionistic fuzzy number information, and a new multi stage incentive aggregation method based on development stability and growth trend is proposed. Firstly, a fuzzy measure method based on improved grey correlation analysis is used to transform the hybrid preference information into a basic reliability distribution function (mass function). Secondly, the degree of evidence conflict is determined by integrating the conflict coefficient and the degree of similarity between evidences, and expert weights are calculated based on this; after that, the mass functions of different experts are modified and fused using the evidence weights and Demper combination rules. Thirdly, the difference between the ranking values of multi-stage schemes and average ranking values is used to measure the volatility of alternative schemes, and define the stability incentive adjustment coefficient. Finally, this decision-making method is applied to the selection of financing loans for small and micro enterprises by commercial banks to compare and analyze its rationality and feasibility. © 2023 Systems Engineering Society of China. All rights reserved.
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收藏
页码：3619 / 3635
页数：16
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