Consensus decision modeling with distributionally robust chance constraint in uncertain environments

HIGHLIGHTS

  • who: Dai Zexing and collaborators from the Business School, University of Shanghai for Science and Technology, Shanghai, China have published the article: Consensus Decision Modeling with Distributionally Robust Chance Constraint in Uncertain Environments, in the Journal: Journal of Mathematics of 10/02/2023
  • what: In this study a novel consensus model with a distributionally robust chance constraint (DRO-MCCM) is explored. Te following are this paper`s primary innovations and contributions: the research proposed two diferent types of consensus decision-making models with distributionally robust chance constraints that consider both minimum consensus cost and maximum . . .

     

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