Multi-attribute group decision-making method based on dual probabilistic linguistic integrated distance measure and regret theory

被引：0

作者：

Jiang, Guang-Tian ^{[1
]}

Song, An-Bin ^{[1
]}

机构：

[1] School of Economics and Management, Dalian Jiaotong University, Dalian

来源：

Kongzhi yu Juece/Control and Decision | 2024年 / 39卷 / 10期

关键词：

consensus-reaching; distance measure; dual probabilistic linguistic term sets; multi-attribute group decision-making; regret theory;

D O I：

10.13195/j.kzyjc.2023.0839

中图分类号：

学科分类号：

摘要：

Dual probabilistic linguistic term sets (DPLTSs) are able to express the evaluation information of decision makers in both membership degree and non-membership degree, which is more effective in dealing with multi-attribute group decision-making (MAGDM) problems. First, to address the shortcomings of the current research on distance measures of the DPLTSs, this paper proposes a new integrated distance measure that can accurately characterize the differences between the DPLTSs without extending the number of probabilistic linguistic term elements. Second, the method of determining expert weights is given based on the similarity of evaluations and experts’ trustworthiness; then, the specific steps of reaching group consensus are constructed and the required decision matrix is obtained. Third, the attribute weights are calculated based on the deviation maximization method, and the MAGDM decision method based on regret theory is constructed. Finally, the numerical analysis of the heavy-duty truck research and development strategy selection for a new energy vehicle enterprise is carried out as an example to verify the applicability and effectiveness of the method; and the stability and rationality are further verified through sensitivity analysis and comparative analysis. © 2024 Northeast University. All rights reserved.

引用

页码：3459 / 3468

页数：9

共 19 条

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