TY - JOUR
T1 - Consensus reaching process with noncooperative behaviors in large-scale group social network environment
AU - You, Xinli
AU - Hou, Fujun
AU - Chiclana, Francisco
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/9
Y1 - 2023/9
N2 - Large-scale group decision-making (LSGDM) problems have drawn general attention from scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool to describe the preferences of decision makers (DMs) in the decision-making process. Opinion conflict is inevitable among large-scale DMs due to self-interest and individual perception. Thus, it is essential to establish a consensus reaching process (CRP), but there may be non-cooperative behaviors for DMs when they are required to accept the opinions adjustment. As the social network becomes more ubiquitous, moreover, the trust relationship among decision members has implications for the consensus reaching process. Hence, this study proposes a new consensus model that manages non-cooperative behaviors from the cooperative degree, trust relationship, and individual self-confidence level three aspects, and discusses the specific influence of these factors on the penalty for non-cooperative behaviors. In addition, hesitancy-based similarity measure of linguistic distributed assessment is proposed for clustering and measuring consensus level. Finally, a numerical example of a price hearing system demonstrates the feasibility and efficacy of the proposed method, and a comparative analysis illustrates its features and advantages.
AB - Large-scale group decision-making (LSGDM) problems have drawn general attention from scholars. The distribution linguistic preference relation (DLPR) is a flexible and practical tool to describe the preferences of decision makers (DMs) in the decision-making process. Opinion conflict is inevitable among large-scale DMs due to self-interest and individual perception. Thus, it is essential to establish a consensus reaching process (CRP), but there may be non-cooperative behaviors for DMs when they are required to accept the opinions adjustment. As the social network becomes more ubiquitous, moreover, the trust relationship among decision members has implications for the consensus reaching process. Hence, this study proposes a new consensus model that manages non-cooperative behaviors from the cooperative degree, trust relationship, and individual self-confidence level three aspects, and discusses the specific influence of these factors on the penalty for non-cooperative behaviors. In addition, hesitancy-based similarity measure of linguistic distributed assessment is proposed for clustering and measuring consensus level. Finally, a numerical example of a price hearing system demonstrates the feasibility and efficacy of the proposed method, and a comparative analysis illustrates its features and advantages.
KW - Affinity propagation clustering
KW - Consensus reaching process
KW - Distribution linguistic preference relation
KW - Large-scale group decision making
KW - Non-cooperative behaviors
KW - Social network
UR - http://www.scopus.com/inward/record.url?scp=85162227127&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2023.110454
DO - 10.1016/j.asoc.2023.110454
M3 - Article
AN - SCOPUS:85162227127
SN - 1568-4946
VL - 144
JO - Applied Soft Computing
JF - Applied Soft Computing
M1 - 110454
ER -