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.
|Publisher||IEEE Computer Society|
|Conference||CIMCA05, the 2005 International Conference on Computational Intelligence for Modelling, Control & Automation|
|Period||28/11/05 → 30/11/05|
|Other||28-30 Nov 2005|
- SE-SC: Soft Computing applied to Software Engineering