Technology selection in the presence of imprecise data, weight restrictions, and nondiscretionary factors

Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)


Technology selection is an important part of management of technology. Traditionally, technology selection models are based on cardinal data with less emphasis on ordinal data. However, with respect to technology selection complexity, emphasis has shifted to the simultaneous consideration of cardinal and ordinal data in technology selection process. The application of data envelopment analysis (DEA) for technology selection problems is based on total flexibility of the weights. However, the problem of allowing total flexibility of the weights is that the values of the weights obtained by solving the unrestricted DEA program are often in contradiction to prior views or additional available information. On the other hand, current models of technology selection problems assume complete discretion of decision-making criteria and do not assume technology selection in the conditions that some factors are nondiscretionary. To select the best technologies in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, the objective of this paper is to propose a new pair of assurance region-nondiscretionary factors-imprecise data envelopment analysis (AR-NF-IDEA) models. A numerical example demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)827-838
Number of pages12
JournalInternational Journal of Advanced Manufacturing Technology
Issue number7-8
Publication statusPublished - Apr 2009


  • Assurance region
  • Imprecise data envelopment analysis
  • Nondiscretionary factors
  • Technology selection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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