We propose three mixed integer robust maximum expert consensus models (MIR-MECMs) by introducing uncertain box, ellipsoid and polyhedron sets, respectively.
To solve this problem, novel MECMs are constructed on the basis of robust optimization under uncertainty circumstances. Considering the uncertainty of costs, we ...
The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances · Shaojian Qu, Yuanming Li, Ying Ji · Published in ...
Further, by applying a robust optimization method to process uncertain sets, we propose mixed-integer robust maximum expert consensus models, which reduce the ...
Robust maximum expert consensus modeling with dynamic feedback ...
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We propose flexible MECMs with dynamic feedback adjustment mechanisms (DFA-MECMs) to guides DMs to modify consensus thresholds in CRP.
Jul 2, 2024 · The maximum expert consensus model (MECM) is a commonly used consensus model in group decision making (GDM). In traditional MECM ...
The maximum expert consensus model (MECM) is an effective model for achieving consensus during the consensus reaching process (CRP) in group decision making ...
Qu, The mixed integer robust maximum expert consensus models for large-scale GDM under uncertainty circumstances, Appl. Soft. Comput., № 107 https://doi.org ...
Feb 10, 2023 · Based on the uncertain environment, this paper builds a consensus decision-making model with distributionally robust chance constraints for two ...
Hence, this paper proposes data-driven robust maximum fairness consensus models (RMFCMs) to address these. First, this paper uses the robust optimization method ...