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 :
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