Case-Based Classifiers with Fuzzy Rough Sets

被引：0
|
作者：
An, Shuang [1 ]
Hu, Qinghua [1 ]
Yu, Daren [1 ]
机构：
[1] Harbin Inst Technol, Harbin 150001, Peoples R China
来源：
ROUGH SETS AND KNOWLEDGE TECHNOLOGY | 2011年 / 6954卷
关键词：
fuzzy rough set; case based reasoning; case selection; case weight; REDUCTION;
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：
Fuzzy rough sets are widely studied and applied in the domain of machine learning and data mining these years. In this work, we design a case-based classifier with fuzzy rough set theory. The new classifier takes lower approximation of fuzzy rough sets as the theoretic foundation of selecting cases and case reasoning. Some numerical experiments are conducted to show the effectiveness of the proposed algorithm.
引用
收藏
页码：172 / 177
页数：6
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