Application of rough set theory in network fault diagnosis

被引：0

作者：

Peng, YQ ^{[1
]}

Liu, GQ ^{[1
]}

Lin, T ^{[1
]}

Geng, HS ^{[1
]}

机构：

[1] Hebei Univ Technol, Tianjin 300130, Peoples R China

来源：

THIRD INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 2, PROCEEDINGS | 2005年

关键词：

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：

In this paper rough set theory is researched and applied in computer network fault diagnosis. Original MIB( Information Base of Management) data from network which reflect network fault are collected first, and a reduction algorithm based on attribute significance and attribute frequency is implemented on the MIB data, which removing inconsistent or erroneous MIB data. Based on attribute core and user preference attribute set, the algorithm makes not only use of advantage of these two algorithm, but also the universality of core, user background knowledge, and domain experience. At the same time, the minimal support degree and minimal belief degree is introduced into rough set theory for decision rules discovery and get decision rules.

引用

页码：556 / 559

页数：4

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