A fuzzy ranking method with range reduction techniques

Li Ching Ma*, Han-Lin Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


For ranking alternatives based on pairwise comparisons, current analytic hierarchy process (AHP) methods are difficult to use to generate useful information to assist decision makers in specifying their preferences. This study proposes a novel method incorporating fuzzy preferences and range reduction techniques. Modified from the concept of data envelopment analysis (DEA), the proposed approach is not only capable of treating incomplete preference matrices but also provides reasonable ranges to help decision makers to rank decision alternatives confidently.

Original languageEnglish
Pages (from-to)1032-1043
Number of pages12
JournalEuropean Journal of Operational Research
Issue number3
StatePublished - 1 Feb 2008


  • Decision analysis
  • Fuzzy
  • Preference
  • Range reduction
  • Ranking

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