Rankings from Fuzzy Pairwise Comparisons

We propose a new method for deriving rankings from fuzzy pairwise comparisons. It is based on the observation that quantification of the uncertainty of the pairwise comparisons should be used to obtain a better crisp ranking, instead of a fuzzified version of the ranking obtained from crisp pairwise comparisons. With our method, a crisp ranking is obtained by solving a linear programming problem, when the fuzzy pairwise comparisons are fuzzy triangular numbers. Our method simplifies the recent method by Mikhailov.

• Type: Conference
• Year: 2005
• Where: CIMCA
• Authors: Pim van den Broek, Joost Noppen
• Keywords: CIMCA 2005, Crisp Pairwise Comparisons, Fuzzy Pairwise Comparisons, Pairwise Comparisons