Fault Diagnostic Knowledge Acquisition in Diesel Engine Fuel System Based on Rough Set Description Theory and Grey Theory

被引：0
|
作者：
Liu Jun [1 ]
Zhou Gui-yun [1 ]
机构：
[1] Zhejiang Ocean Univ, Sch Math & Informat, Zhoushan 316004, Zhejiang, Peoples R China
来源：
2008 INTERNATIONAL WORKSHOP ON INFORMATION TECHNOLOGY AND SECURITY | 2008年
关键词：
Rough set; description; attribute reduction; grey correlation coefficient;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To extract the most effective knowledge in a fault diagnosis system, Rough set description theory was applied to reduce the attribution of fault conditions, and the grey correlation coefficient of the acquired reduction set was calculated based on the Grey Theory, and the importance of condition attribute was recognized to get the optimum attribute reduction set. The Optimum attribute reduction set was effectively obtained through the combined application of Rough Set Theory with Grey Theory.
引用
收藏
页码：211 / 215
页数：5
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