粗糙集理论在网络故障诊断系统中的应用  

The Application of the Rough Set Theory in the Diagnosis of Computer Net Faults

作　　者：龚兵[1] 王达兴[2] 

机构地区：[1]五邑大学计算机科学与工程系,广东江门529020 [2]江门军分区通讯处,广东江门529000

出　　处：《五邑大学学报（自然科学版）》2002年第2期22-26,共5页Journal of Wuyi University(Natural Science Edition)

摘　　要：在网络故障诊断系统中,对反映网络信息的MIB变量,利用粗糙集理论可约简出最有利于分类的变量集合,并获得分类的决策规则. 实验结果表明:本方法对解决网络故障特征提取,提高故障分类正确性等问题有较好的效果.This paper points out that in the diagnosis of computer net faults a variable set of MIB (which can reflect the net information amount) favorable to classification can be achieved by using the Rough Set theory, and decision-making rules of classification can thus be obtained. Results of experiments indicate that this method is effective in recognizing the character of computer net faults and in improving the correctness of classifying faults.

关 键 词：粗糙集理论 网络故障诊断系统 故障分类 决策规则 网络管理 MIB变量 故障管理 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]