DocumentCode
468091
Title
A Convex Combination Approach for the Weights of Interval Fuzzy Preference Relation
Author
Lan, Ji-Bin ; Liu, Fang
Author_Institution
Guangxi Univ. Nanning, Nanning
Volume
1
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
17
Lastpage
21
Abstract
The weights of interval fuzzy preference relation generated in the analytic hierarchy process are investigated. Making use of a convex combination method, a family of real fuzzy preference relations are constructed. The aggregation of the weights of the family of real fuzzy preference relations is considered as the weights of interval fuzzy preference relation. In order to make any weight vector of the family of real fuzzy preference relations reliable, the sufficient and necessary conditions of their consistency and weak transitivity are given. When they are inconsistent, the method of repairing them to reach weak transitivity is also proposed. A numerical example is given to illustrate the validity and practicality of the developed methods.
Keywords
fuzzy set theory; statistical analysis; analytic hierarchy process; convex combination approach; interval fuzzy preference relation; Economic forecasting; Information analysis; Information science; Linear programming; Mathematics; Sociology; Technology forecasting; Technology transfer; Testing; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.13
Filename
4405880
Link To Document