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- W2368307694 abstract "Learning from cross-evaluation method in DEA,the grey relational analysis models with incomplete information are established.If evaluators have no subjective preference,assumes each of the evaluated objects is self-serving to maximize its evaluation value and minimize the value of its every rival. If evaluators have subjective preference,supposes that all evaluated objects have consistent goal minimize the deviation between its objective value and subjective preferences of evaluators.Each of evaluated objects cross-evaluated others adopting weights which could compete for its goal.Integrated values of cross-evaluation results are used as decision criteria.The new models could reflect thevoiceand competitive advantage of evaluated objects fairly,and are easy to be accepted by evaluated objects and evaluators at the same time." @default.
- W2368307694 created "2016-06-24" @default.
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- W2368307694 date "2010-01-01" @default.
- W2368307694 modified "2023-09-25" @default.
- W2368307694 title "Grey relational analysis models with incomplete information based on cross-evaluation" @default.
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