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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 to obtain input and output elements based...
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 (Decision Making Unit) and finds extra-ordinal...
This paper has proposed a framework in order to analyze in conditional efficient state. Proposed model can classify the objective DMU with imprecise data into following four state: (1) efficient state in any case, (2) efficient state in the condition that objective DMU has minimum input and maximum output and other DMU has any input/output levels, (3) efficient state in the condition that objective...
DEA (data envelopment analysis) is a method for evaluating management efficiency of DMU (decision making unit). Focusing on the DMUs which have group relationship, this study proposes MF-DEA (multi-frontier based DEA) model which treats it. The characteristic of the proposed model is that large number of groups can be treated at once by setting frontier of each group. Though the traditional methods...
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