Dependent OWA operators

被引：0
|
作者：
Xu, Zeshui [1 ]
机构：
[1] Tsinghua Univ, Dept Management Sci & Engn, Sch Econ & Management, Beijing 100084, Peoples R China
来源：
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE | 2006年 / 3885卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, and study some of its desirable properties. The prominent characteristic of this dependent OWA operator is that it can relieve the influence of unfair arguments on the aggregated results. Finally, we give an example to illustrate the developed operator.
引用
收藏
页码：172 / 178
页数：7
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