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- W2380474703 abstract "The problem of existing uncertainty decision-making methods is that the uncertainty of various states was not reflected,and the data information of gain/loss value was not fully mined.Sometimes,different decision criteria lead to a different decision results,which would confuse the decision makers for the right decisions.In view of this,the maximum entropy decision-making method is proposed based on the information entropy of various states and the deviation information of decision-making results,taking the state probability distribution as optimization variables,and accelerating genetic algorithm used to optimize the multi criterion objective function.The flood dispatching decision analysis shows that the maximum entropy model can fully mine the gain/loss information,and the state probability distribution is more reasonable,and the distinctiveness of deci-sion-making results is superior to that of other decision methods." @default.
- W2380474703 created "2016-06-24" @default.
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- W2380474703 date "2013-01-01" @default.
- W2380474703 modified "2023-09-25" @default.
- W2380474703 title "Maximum entropy methods for uncertainty decision-making" @default.
- W2380474703 hasPublicationYear "2013" @default.
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