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

Amar Oukil, Gholam R. Amin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)


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 languageEnglish
Pages (from-to)14-21
Number of pages8
JournalComputers and Industrial Engineering
Publication statusPublished - Mar 2015


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

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)


Dive into the research topics of 'Maximum appreciative cross-efficiency in DEA: A new ranking method'. Together they form a unique fingerprint.

Cite this