Multi-granularity linguistic large group decision-making based on cloud model and multi-layer weight determination

被引：0

作者：

Wang P. ^{[1
]}

Zhang J. ^{[2
]}

Zhang W.-W. ^{[3
]}

机构：

[1] School of Business, Guangdong University of Foreign Studies, Guangzhou

[2] Experimental Teaching Center, Guangdong University of Foreign Studies, Guangzhou

[3] School of Business, Central South University, Changsha

来源：

Kongzhi yu Juece/Control and Decision | 2021年 / 36卷 / 09期

关键词：

Cloud model; Large group decision-making; Multi-granularity linguistic information; Multi-layer weight determination; Trust network;

D O I：

10.13195/j.kzyjc.2020.0102

中图分类号：

学科分类号：

摘要：

For a large group decision-making problem with partly known attribute weights and completely unknown expert weights, a new decision-making method based on the cloud model is proposed. Firstly, an expert weight determination model based on the trust network is established to obtain the weight information of each expert. Secondly, the linguistic preferences with different multi-granularity are transformed into clouds, and then a clustering process is applied. Thirdly, an optimization model is constructed to compute the attribute weights, and then the comprehensive evaluation value for each alternative is presented and the ranking results can be derived. The expert weight determination model can solve the decision making problems where exists a large number of experts and the weight information of each expert is difficult to be provided objectively. In addition, the defined intuitionistic trust set is a good way to describe the trust network among experts, which can help to exploit the information of experts. By transforming the multi-granularity linguistic variables into clouds, it can describe the fuzziness and randomness of linguistic information and avoid information losses and distortions. © 2021, Editorial Office of Control and Decision. All right reserved.

引用

页码：2257 / 2266

页数：9

共 23 条

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