Determining relative efficiency of slightly non-homogeneous decision making units by data envelopment analysis: A case study in IROST

Reza Farzipoor Sean*, Azizollah Memariani, Farhad Hosseinzadeh Lotfi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

55 Citations (SciVal)


The assumption of classical Data Envelopment Analysis (DEA) models is based on complete homogeneity of Decision Making Units (DMUs). The objective of this paper is to propose a method of determining relative efficiency of slightly non-homogeneous DMUs by using DEA. First missing values are inserted by series mean. Then relative weights of DMUs are measured by Analytic Hierarchy Process (AHP) and finally relative efficiency of DMUs is computed by chance-constrained DEA. A case study demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)313-328
Number of pages16
JournalApplied Mathematics and Computation
Issue number2
Publication statusPublished - Jun 15 2005


  • Analytic hierarchy process
  • Chance-constrained DEA
  • Data envelopment analysis
  • Missing values

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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