Review of Methods for Increasing Discrimination in Data Envelopment Analysis

We present a review of methods for increasing discrimination between efficient DMUs in Data Envelopment Analysis. These methods were classified into two groups: those that incorporate a priori information and those that do not use or minimize the use of such a priori information. We also compare these methodologies regarding their specific characteristics.

• Type: Journal
• Year: 2002
• Where: ANOR
• Authors: Lidia Angulo Meza, Marcos Pereira Estellita Lins
• Keywords: ANOR 2002, Data Envelopment Analysis, Efficient Dmus, Priori Information