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A convex combination approach for the weights of interval fuzzy preference relation
被引:0
|作者:
Lan, Ji-bin
[1
]
Liu, Fang
[1
]
机构:
[1] Guangxi Univ, Sch Math & Informat Sci, Nanning 530004, Guangxi, Peoples R China
来源:
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS
|
2007年
关键词:
interval fuzzy preference relation;
convex combination;
consistency;
weak transitivity;
D O I:
10.1109/FSKD.2007.13
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
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.
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页码:17 / 21
页数:5
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