Inverse DEA Model with Fuzzy Data for Output Estimation

Abstract

In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.

Keywords

• data envelopment analysis
• Multi-objective Programming
• Inverse DEA Model
• fuzzy numbers