A dynamic dual-trust network-based consensus model for individual non-cooperative behaviour management in group decision-making

Z Liu, W Wang, X Zhang, P Liu - Information Sciences, 2024 - Elsevier
In group decision-making, trust relationships are the basis of interactions among decision
makers (DMs) and play an important role in maintaining cooperation. However, DMs from …

Robust Maximum Expert Consensus Model with Adjustment Path under Uncertain Environment

Y Ma, Y Ji, C Wijekoon - Applied Soft Computing, 2024 - Elsevier
The maximum expert consensus model (MECM) is a commonly used consensus model in
group decision making (GDM). In traditional MECM, the consensus constraints are not fully …

Cooperative games for group decision making under undirected collaboration network with hesitant fuzzy preference relations

H Liao, F Jiang, M Tang, Z Xu - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
In group decision-making problems, trust relationships among experts often impact the
evaluation information they provide for alternatives, and non-cooperative behaviors are …

Trust risk test-based group consensus with probabilistic linguistic preference relations under social networks

X Han, J Zhan, Z Xu, L Mart - IEEE Transactions on Fuzzy …, 2024 - ieeexplore.ieee.org
Social networks are gaining importance as an important application landscape for machine
learning techniques. Currently, it is prevalent thinking to introduce social networks into group …

An overlap graph model for large‐scale group decision making with social trust information considering the multiple roles of experts

H Liao, R Tan, M Tang - Expert Systems, 2021 - Wiley Online Library
Social network analysis is an efficient tool to investigate the relationships of decision‐
makers in large‐scale group decision making (LSGDM). Existing social network‐based …

Adaptive large-scale group interactive portfolio optimization approach based on social network with multi-clustering analysis and minimum adjustment

D Li, S Hu - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The mean-variance (MV) model can help large companies identify portfolios that maximize
returns and minimize risk. By incorporating an expert's preferences into the solution process …

A two-stage granular consensus model for minimum adjustment and minimum cost under Pythagorean fuzzy linguistic information

L Wang, X Liu, Y Wang - Applied Soft Computing, 2022 - Elsevier
Group decision-making is an everyday evaluation activity in which a panel of decision-
makers offers their preferences for obtaining the final results to solve decision problems. In …

Consistency and consensus enhancing in group decision making with interval-valued intuitionistic multiplicative preference relations based on bounded confidence

JY Dong, XY Lu, HC Li, SP Wan, SQ Yang - Information Sciences, 2024 - Elsevier
This study proposes a consensus and consistency enhancing method considering bound
confidence for Group Decision-Making (GDM) under interval-valued intuitionistic …

Dynamic relationship network analysis based on louvain algorithm for large-scale group decision making

M Li, J Qin, T Jiang, W Pedrycz - International Journal of …, 2021 - atlantis-press.com
In most existing large-scale group decision making (LSGDM) problems, the relationships
between decision makers (DMs) are usually ignored or regarded as static. However, in …

An Asynchronous Large-scale Group Decision-making Method with Punishment of Unstable Opinions and Its Application in Traffic Noise-control Technologies …

H Liao, X Jin, Z Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic noise acts as a major disturbance to residents living in the vicinity of roads, railways
and airports, leading to various health problems to people. Evaluating different noise-control …