The robust minimum cost consensus model with risk aversion

H Zhang, Y Ji, S Qu, H Li, R Huang - Information Sciences, 2022 - Elsevier
Due to the uncertain circumstances in which decisions are made, the moderator may be
unable to provide an accurate unit adjustment cost to each decision maker, making the unit …

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 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 …

Distributionally robust chance constrained optimization model for the minimum cost consensus

Y Han, S Qu, Z Wu - International Journal of Fuzzy Systems, 2020 - Springer
As a solution method that not only considers the probability distribution information of data,
but also ensures that the results are not too conservative, more and more researches have …

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 …

Consensus modeling with asymmetric cost based on data-driven robust optimization

S Qu, Y Han, Z Wu, H Raza - Group Decision and Negotiation, 2021 - Springer
The robust optimization method has progressively become a research hot spot as a valuable
means for dealing with parameter uncertainty in optimization problems. Based on the …

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) …

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 …

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 …

A robust minimum-cost consensus model with uncertain aggregation weights based on data-driven method

Y Han, Y Ji, S Qu - IEEE Transactions on Computational Social …, 2021 - ieeexplore.ieee.org
Due to the existence of cognitive bias, it is difficult to accurately obtain the decision-makers'
weights in the aggregating process, which leads to great fluctuations in the optimal decision …