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To measure efficiency of DMUs (Decision Making Units), DEA (Data Envelopment Analysis) clarifies relations between input and output elements respectively. Although selection of these data is entrusted to analyst, criteria of selection are not universal. Therefore, reasonability of data selection is sometimes controversial. Then the purpose of this study is(More)
—To extend the sensitivity analysis for DEA (Data Envelopment Analysis), this paper proposes FA-DEA (Frontier Assignment based DEA). The basic idea of FA-DEA is to allow decision maker to decide frontier intentionally while the fundamental DEA and super-DEA decides frontier computationally. Then FA-DEA provides chances to exclude extra-influential DMU(More)
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