Maximum appreciative cross-efficiency in DEA: A new ranking method

Amar Oukil; Gholam R. Amin

doi:10.1016/j.cie.2014.12.020

Maximum appreciative cross-efficiency in DEA: A new ranking method

Amar Oukil, Gholam R. Amin^*

^*Corresponding author for this work

Operations Management & Business Statistics

Research output: Contribution to journal › Article › peer-review

59 Citations (Scopus)

Abstract

Ranking decision making units (DMUs) is one of the most important applications of data envelopment analysis (DEA). In this paper, we exploit the power of individual appreciativeness in developing a methodology that combines cross-evaluation, preference voting and ordered weighted averaging (OWA). We show that each stage of the proposed methodology enhances discrimination among DMUs while offering more flexibility to the decision process. Our approach is illustrated through an example involving 15 baseball players.

Original language	English
Pages (from-to)	14-21
Number of pages	8
Journal	Computers and Industrial Engineering
Volume	81
DOIs	https://doi.org/10.1016/j.cie.2014.12.020
Publication status	Published - Mar 2015

Keywords

Cross-efficiency
Data envelopment analysis
Maximum appreciation
Ordered weighted averaging
Preference voting
Ranking

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

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10.1016/j.cie.2014.12.020

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KW - Data envelopment analysis

KW - Maximum appreciation

KW - Ordered weighted averaging

KW - Preference voting

KW - Ranking

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Maximum appreciative cross-efficiency in DEA: A new ranking method

Abstract

Keywords

ASJC Scopus subject areas

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