网络故障管理中基于邻域粗糙集的规则自动生成  

Automatic Rule Generation Based on Neighborhood Rough Set in Network Fault Management

作　　者：洪国栋[1] 闵卫东[2] 

机构地区：[1]天津工业大学计算机科学与软件学院,天津300387 [2]南昌大学信息工程学院,南昌330031

出　　处：《计算机工程》2016年第9期310-314,共5页Computer Engineering

基　　金：天津市自然科学基金资助项目(13JCYBJC15500)

摘　　要：针对网络故障管理中的规则手工定义方法未考虑冗余和不准确数据对规则有效性和性能的影响问题,为提高规则匹配效率,提出一种规则自动生成方法。通过邻域粗糙集约简网络故障诊断属性并对约简结果限定阈值进而实现规则自动生成。针对监控数据的规则多匹配问题,设计基于值权重的规则匹配算法,可在发生多匹配时从规则中找出一条与当前监控数据匹配度最高的规则。实验结果表明,与规则手动定义方法相比,该方法能在不降低故障诊断率的情况下,使规则匹配效率平均提升2.5倍。The current methods to define rules manually in the network fault management do not consider the influence of redundancy and inaccurate date on the effectiveness and performance of the rules. Aiming at the problem, an automatic rule generation method is proposed to improve the efficiency of rule matching. It uses neighborhood rough set to reduce the fault attributes of network faults, limits the threshold of reduction results and then generates rules automatically. To solve the problem of multiple rule matching about monitoring data, a rule matching algorithm based on value weight is proposed. It can find a rule that has the highest matching degree with the current monitoring data in the case of multiple matching. Experimental results demonstrate that compared with the method to define rules manually, the proposed method can increase the efficiency of rule matching by 2.5 times without reducing the rate of fault diagnosis.

关 键 词：网络故障管理 规则自动生成 邻域粗糙集 属性约简 规则匹配 

分 类 号：TP393.06[自动化与计算机技术—计算机应用技术]