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Review of Methods for Increasing Discrimination in Data Envelopment Analysis

Lidia Angulo-Meza and Marcos Lins

Annals of Operations Research, 2002, vol. 116, issue 1, 225-242

Abstract: 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. Copyright Kluwer Academic Publishers 2002

Keywords: Data Envelopment Analysis; weight restrictions; Value Efficiency Analysis; cross-evaluation; super efficiency; multiple objectives model (search for similar items in EconPapers)
Date: 2002
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DOI: 10.1023/A:1021340616758

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Handle: RePEc:spr:annopr:v:116:y:2002:i:1:p:225-242:10.1023/a:1021340616758