Two-Stage Data Envelopment Analysis Model with Interval Inputs and Outputs

Abstract

—Data envelopment analysis (DEA) is a non-parametric method for relative efficiency evaluation of decision making units described by multiple inputs and multiple outputs. It is based on solving linear programming problems. Since 1978 when basic DEA model was introduced many its modifications were formulated. Two-stage or, in more general, multi-stage models… (More)

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