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 …

Robust minimum cost consensus models with uncertain asymmetric costs based on linear uncertain-constrained tolerance level

Z Wu, P Gao, Y Wang, X Xu, N Wan… - … Applications of Artificial …, 2024 - Elsevier
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 …

Robust minimum cost consensus models with various individual preference scenarios under unit adjustment cost uncertainty

S Qu, J Wei, Q Wang, Y Li, X Jin, L Chaib - Information Fusion, 2023 - Elsevier
In group decision making (GDM), individual opinions and unit adjustment costs are essential
factors in reaching a collective consensus. However, in previous studies, most scholars only …

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 …

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 …

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 …

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 …

Two-stage stochastic minimum cost consensus models with asymmetric adjustment costs

H Li, Y Ji, Z Gong, S Qu - Information Fusion, 2021 - Elsevier
When dealing with consensus cost problems with asymmetric adjustment costs, the
uncertain scenarios with certain probabilities which are becoming a serious problem …

Robust maximum fairness consensus models with aggregation operator based on data-driven method

H Liang, S Qu, Z Dai - Journal of Intelligent & Fuzzy Systems - content.iospress.com
In group decision-making (GDM), when decision-makers (DMs) feel it is unfair, they may
take uncooperative measures to disrupt the consensus-reaching process (CRP). On the …

Consensus building for uncertain large-scale group decision-making based on the clustering algorithm and robust discrete optimization

Y Li, Y Ji, S Qu - Group Decision and Negotiation, 2022 - Springer
Consensus reaching processes (CRPs) including the feedback adjustment mechanism
generally require extended periods of time to bridge the opinion gap among decision …