@Article{cmes.2023.027310,
AUTHOR = {Rongrong Ren, Luyang Su, Xinyu Meng, Jianfang Wang, Meng Zhao},
TITLE = {A Large-Scale Group Decision Making Model Based on Trust Relationship and Social Network Updating},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {138},
YEAR = {2024},
NUMBER = {1},
PAGES = {429--458},
URL = {http://www.techscience.com/CMES/v138n1/54266},
ISSN = {1526-1506},
ABSTRACT = {With the development of big data and social computing, large-scale group decision making (LGDM) is now merging
with social networks. Using social network analysis (SNA), this study proposes an LGDM consensus model that
considers the trust relationship among decision makers (DMs). In the process of consensus measurement: the social
network is constructed according to the social relationship among DMs, and the Louvain method is introduced to
classify social networks to form subgroups. In this study, the weights of each decision maker and each subgroup
are computed by comprehensive network weights and trust weights. In the process of consensus improvement:
A feedback mechanism with four identification and two direction rules is designed to guide the consensus of
the improvement process. Based on the trust relationship among DMs, the preferences are modified, and the
corresponding social network is updated to accelerate the consensus. Compared with the previous research, the
proposed model not only allows the subgroups to be reconstructed and updated during the adjustment process, but
also improves the accuracy of the adjustment by the feedback mechanism. Finally, an example analysis is conducted
to verify the effectiveness and flexibility of the proposed method. Moreover, compared with previous studies, the
superiority of the proposed method in solving the LGDM problem is highlighted.},
DOI = {10.32604/cmes.2023.027310}
}