The trust incentive mechanism by trust propagation to optimize consensus in social network group decision making

doi:10.1016/j.eswa.2024.125111

	The trust incentive mechanism by trust propagation to optimize consensus in social network group decision making
	Xing, Yumei 1,2; Wang, Sha 1; Dong, Yucheng 3; Liu, Yujia1 ; Wu, Jian
	2024-12-10
发表期刊	EXPERT SYSTEMS WITH APPLICATIONS
卷号	257
摘要	Trust relationship in social network group decision making (SN-GDM) is one of the key factors to promote group consensus. This trust relationship reflects the importance of experts, and the consensus feedback opinion induced by the trust relationship is easier to be accepted by the group. But this trust relationship is often assumed to be static, and therefore the dynamic effect of incentive behavior among experts on trust relationship is not considered. To do that, the purpose of this paper is to develop a trust incentive mechanism to effectively promote group consensus. First, the new discount based Uninorm trust propagation operator with 2-tuple linguistic is presented, which transforms an incomplete trust relationship into a complete trust relationship. And then, the trust incentive mechanism with opinions similarity between experts is constructed, which reflects not only the incentive process among experts, but also the dynamic change of the social trust relationship. Further, the trust incentive mechanism driven consensus optimization model is established to generate experts' recommendation advices, which not only effectively reduce the total adjustment cost of experts to promote consensus, but also makes the experts continue to motivate the discussion after revising their opinions, leading to dynamic changes in the social trust relationship in the next consensus round. Finally, an example of agricultural UAV brand selection in Metaverseintelligent shopping is provided to illustrate the proposed method, and the results show that with the increase of incentive factor, the total adjustment cost decreases, and the best UAV brand also changes alternately and tends to be stable. In addition, comparing with the method without trust incentive, the interaction cost of the proposed method is 13.46% lower, and then our proposed method has certain flexibility and advantages.
关键词	Group decision making Group consensus Trust incentive Metaverseintelligent shopping
DOI	10.1016/j.eswa.2024.125111
收录类别	SCIE ; EI
ISSN	0957-4174
语种	英语
WOS研究方向	Computer Science ; Engineering ; Operations Research & Management Science
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS记录号	WOS:001298980100001
出版者	PERGAMON-ELSEVIER SCIENCE LTD
EI入藏号	20243416913571
原始文献类型	Article
EISSN	1873-6793
文献类型	期刊论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/37654
专题	工商管理学院
通讯作者	Liu, Yujia
作者单位	1.Shanghai Maritime Univ, Sch Econ & Management, Shanghai 201306, Peoples R China; 2.Lanzhou Univ Finance & Econ, Sch Informat Engn & Artificial Intelligence, Lanzhou 730101, Gansu, Peoples R China; 3.Sichuan Univ, Business Sch, Chengdu 610065, Peoples R China
第一作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Xing, Yumei,Wang, Sha,Dong, Yucheng,et al. The trust incentive mechanism by trust propagation to optimize consensus in social network group decision making[J]. EXPERT SYSTEMS WITH APPLICATIONS,2024,257.
APA	Xing, Yumei,Wang, Sha,Dong, Yucheng,Liu, Yujia,&Wu, Jian.(2024).The trust incentive mechanism by trust propagation to optimize consensus in social network group decision making.EXPERT SYSTEMS WITH APPLICATIONS,257.
MLA	Xing, Yumei,et al."The trust incentive mechanism by trust propagation to optimize consensus in social network group decision making".EXPERT SYSTEMS WITH APPLICATIONS 257(2024).