Title :
Rankings from Fuzzy Pairwise Comparisons
Author :
Van den Broek, Pim ; Noppen, Joost
Author_Institution :
Fac. of Electr. Eng., Twente Univ., Enschede
Abstract :
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
Keywords :
decision making; fuzzy set theory; linear programming; operations research; crisp ranking; fuzzy pairwise comparison; fuzzy triangular number; linear programming problem; multicriteria decision-making; Automation; Computational intelligence; Computational modeling; Computer science; Decision making; Eigenvalues and eigenfunctions; Least squares methods; Linear programming; Mathematics; Uncertainty;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631466
