An alternative ranking approach and its usage in multi-criteria decision-making

Cengiz Kahraman, A. Cagri Tolga*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)


In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods necessitate graphical representations, complex and tedious calculations. The method developed in this paper has some advantages with respect to the other methods in both graphical representations and calculations. Applicability of the proposed method to multi-criteria decision-making methods, i.e. fuzzy scoring, fuzzy AHP and fuzzy TOPSIS methods, is shown in the paper.

Original languageEnglish
Pages (from-to)219-235
Number of pages17
JournalInternational Journal of Computational Intelligence Systems
Issue number3
Publication statusPublished - Oct 2009


  • AHP
  • Decision-making
  • Fuzzy numbers
  • Ranking
  • Scoring


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