Belief Rough Set Classifier

被引：0

作者：

Trabelsi, Salsabil ^{[1
]}

Elouedi, Zied ^{[1
]}

Lingras, Pawan ^{[2
]}

机构：

[1] Inst Super Gest Tunis, Larodec, Tunis, Tunisia

[2] Saint Marys Univ Halifax, Halifax, NS, Canada

来源：

ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年 / 5549卷

关键词：

rough sets; belief functions; uncertainty; classification;

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：

In this paper, we propose a new rough set classifier induced from partially uncertain decision system. The proposed classifier aims at simplifying the uncertain decision system and generating more significant belief decision rules for classification process. The uncertainty is reperesented by the belief functions and exists only in the decision attribute and not in condition attribute values.

引用

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页码：257 / +

页数：3

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