Technologies ranking in the presence of both cardinal and ordinal data

Reza Farzipoor Saen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Ranking of technologies is an important phase for technology transfer. To rank the best technologies in the presence of both cardinal and ordinal data, this paper proposes an innovative approach, which is based on imprecise data envelopment analysis (IDEA). The objective of this paper is to propose a comprehensive reference that discusses the use of IDEA in technology ranking. A numerical example demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)476-487
Number of pages12
JournalApplied Mathematics and Computation
Volume176
Issue number2
DOIs
Publication statusPublished - May 15 2006

Keywords

  • Cardinal and ordinal data
  • Imprecise data envelopment analysis
  • Technology ranking

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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