A study of DEA models without explicit inputs

W. B. Liu, D. Q. Zhang, W. Meng, X. X. Li, F. Xu

Research output: Contribution to journalArticlepeer-review

145 Scopus citations

Abstract

In performance evaluations, data without explicit inputs (such as index data, pure output data) are widely used. To directly use such data, this paper presents a study on building DEA models without explicit inputs, so-called DEA-WEI models, which are applicable to the evaluation applications where inputs are not directly considered. We provide an axiom foundation of these kinds of models, and further discuss how to incorporate value judgments of decision makers into these DEA-WEI models. Several such models are derived. Finally, applications of the DEA-WEI models are presented.

Original languageEnglish
Pages (from-to)472-480
Number of pages9
JournalOmega (United Kingdom)
Volume39
Issue number5
DOIs
StatePublished - Oct 2011

Keywords

  • DEA
  • Data without explicit input
  • Performance evaluation

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