Rule weight specification in fuzzy rule-based classification systems

被引:329
作者
Ishibuchi, H [1 ]
Yamamoto, T [1 ]
机构
[1] Osaka Prefecture Univ, Dept Ind Engn, Osaka 5998531, Japan
关键词
data mining; fuzzy systems; pattern classification; rule generation; rule selection;
D O I
10.1109/TFUZZ.2004.841738
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-based classification systems. First, we propose two heuristic methods for I rule weight specification. Next, the proposed methods are compared with existing ones through computer simulations on artificial numerical examples and real-world pattern classification problems. Simulation results show that the proposed methods outperform the existing ones in the case of multiclass pattern classification problems with many classes.
引用
收藏
页码:428 / 435
页数:8
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