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 …
group decision making (GDM). In traditional MECM, the consensus constraints are not fully …
Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level
The ability of the minimum cost consensus model (MCCM) to promote consensus reaching
in the domain of group decision-making (GDM) has been extensively studied. Recently, the …
in the domain of group decision-making (GDM) has been extensively studied. Recently, the …
The interactive consensus reaching process with the minimum and uncertain cost in group decision making
The consensus model with the minimum cost (or minimum adjustments or minimum
information loss) is a powerful decision tool for consensus building in the group decision …
information loss) is a powerful decision tool for consensus building in the group decision …
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) …
consensus during the consensus reaching process (CRP) in group decision making (GDM) …
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances
S Qu, Y Li, Y Ji - Applied Soft Computing, 2021 - Elsevier
Consensus commonly improves the efficiency of subsequent implementation of the solution
in large-scale group decision making (LSGDM). The maximum expert consensus model …
in large-scale group decision making (LSGDM). The maximum expert consensus model …
Robust two-stage minimum asymmetric cost consensus models under uncertainty circumstances
Y Ji, Y Li, C Wijekoon - Information Sciences, 2024 - Elsevier
Group decision-making (GDM) problems in the real world are becoming more complex, and
various uncertain factors exist. However, most scholars ignore the uncertainty in the GDM …
various uncertain factors exist. However, most scholars ignore the uncertainty in the GDM …
Data-driven robust cost consensus model with individual adjustment willingness in group decision-making
H Zhang, Y Ji, S Qu, H Li, Y Li - Computers & Industrial Engineering, 2023 - Elsevier
In the consensus reaching process, the moderator, as the representative of collective
interests, needs to consume certain resources to help decision-makers (DMs) reach a …
interests, needs to consume certain resources to help decision-makers (DMs) reach a …
A novel robust flexible minimum cost consensus model with consensus granule
Y Ji, Y Yuan, Z Peng - Group Decision and Negotiation, 2024 - Springer
In the consensus reaching process of group decision making (GDM), consensus measures
do not require the consensus opinions of all decision makers. Meanwhile, unit adjustment …
do not require the consensus opinions of all decision makers. Meanwhile, unit adjustment …
Enhanced minimum-cost consensus: Focusing on overadjustment and flexible consensus cost
Minimum-cost consensus (MCC) using the optimization-based consensus rule (OR) has
been developed and widely applied to various group decision-making (GDM) contexts …
been developed and widely applied to various group decision-making (GDM) contexts …
Maximum expert consensus model with uncertain adjustment costs for social network group decision making
Y Ma, Y Ji, D Qu, X Zhang, L Wang - Information Fusion, 2024 - Elsevier
In the realm of group decision making (GDM), the maximum expert consensus model
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …
(MECM) emerges as a potent tool for consensus optimization. The complexity of decision …