Supplier selection by the pair of AR-NF-IDEA models

Reza Farzipoor Saen*, Mark Gershon

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Supplier selection is the process by which suppliers are reviewed, evaluated, and chosen to become part of a company's supply chain. To select the best suppliers in the presence of cardinal data, ordinal data, nondiscretionary factors, and weight restrictions, this paper proposes a new model considering all of these assumptions. A numerical example demonstrates the application of the proposed method.

Original languageEnglish
Pages (from-to)25-41
Number of pages17
JournalInternational Journal of Information Systems and Supply Chain Management
Issue number4
Publication statusPublished - Oct 2010


  • Assurance region
  • Company supply chain
  • Imprecise data envelopment analysis
  • Nondiscretionary factors
  • Supplier selection

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems

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