DocumentCode
1943398
Title
Rankings from Fuzzy Pairwise Comparisons
Author
Van den Broek, Pim ; Noppen, Joost
Author_Institution
Fac. of Electr. Eng., Twente Univ., Enschede
Volume
2
fYear
2005
fDate
28-30 Nov. 2005
Firstpage
188
Lastpage
190
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CIMCA.2005.1631466
Filename
1631466
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