The robust maximum expert consensus model with risk aversion

Y Ji, Y Ma - Information Fusion, 2023 - Elsevier
The maximum expert consensus model (MECM) is an effective model for achieving
consensus during the consensus reaching process (CRP) in group decision making (GDM) …

Application of group decision making in shipping industry 4.0: bibliometric analysis, trends, and future directions

Y Yang, T Gai, M Cao, Z Zhang, H Zhang, J Wu - Systems, 2023 - mdpi.com
With the development of Internet technologies, the shipping industry has also entered the
Industry 4.0 era, which is the era of using information technology to promote industrial …

Global feedback mechanism by explicit and implicit power for group consensus in social network

S Wang, J Wu, F Chiclana, F Ji, H Fujita - Information Fusion, 2024 - Elsevier
This paper investigates a global feedback consensus model which determines the
importance of decision makers by combining explicit and implicit Power. Explicit power is …

A two-stage consensus model for large-scale group decision-making considering dynamic social networks

L Li, S Jiao, Y Shen, B Liu, W Pedrycz, Y Chen, X Tang - Information Fusion, 2023 - Elsevier
Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …

An incentive mechanism-based minimum adjustment consensus model under dynamic trust relationship

Y Xing, J Wu, F Chiclana, C Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In traditional group decision making, the inconsistent experts are usually forced to make
compromises toward the group opinion to increase the group consensus level. However, the …

Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in Metaverse virtual community

T Gai, J Wu, M Cao, F Ji, Q Sun, M Zhou - Expert Systems with Applications, 2023 - Elsevier
This paper investigates how to conduct bidirectional feedback mechanism by establishing
trust chains in social network group decision making (SN-GDM), which is more applicable …

Managing non-cooperative behaviors in large-scale group decision making based on trust relationships and confidence levels of decision makers

GR Yang, X Wang, RX Ding, SP Lin, QH Lou… - Information …, 2023 - Elsevier
In large-scale group decision making events, diverse backgrounds of decision makers
(DMs) may result in various non-cooperative behaviors as they pursue personal interests …

A group FMEA technique for LNG carriers risk evaluation with personalized individual semantics

W Jin, M Cao, T Gai, J Fang, M Zhou, J Wu - Group Decision and …, 2023 - Springer
The risk evaluation of liquefied natural gas (LNG) carriers has been the focus of research
due to the special characteristics of the goods carried. Therefore, firstly, this article …

Double stochastic preference analysis on group decision making with interval additive preference relations

J Li, L Zhou, Q Wu, Y Zhang, M Deveci… - Computers & Industrial …, 2024 - Elsevier
Interval additive preference relations (IAPRs) provide a valuable framework for representing
uncertain pairwise comparisons among alternatives in group decision-making (GDM) …

A global optimization feedback model with PSO for large scale group decision making in hesitant fuzzy linguistic environments

MK Zhao, J Guo, J Wu, ZS Xu - Expert Systems with Applications, 2023 - Elsevier
In an increasingly complex and uncertain decision-making environment, large-scale group
decision-making (LSGDM) can offer a more efficient method, allowing a large number of …