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Traditional Data Envelopment Analysis (DEA) models deal with measurements of relative efficiency of Decision Maker Unit (DMU) regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of variable indices. In this paper the indices are supposed as variables with respect to time and we present methods to estimate efficiency and ranking of DMUs.
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