粗糙集理论在步战车故障诊断专家系统中知识自动获取的应用  

Application of automatic knowledge of rough set theory In 04 caterpillar infantry chariots fault diagnosis expert system

作　　者：李英顺[1] 姜双双[2] 佟维妍[2] 黄宽安[2] 

机构地区：[1]沈阳工业大学工程学院,辽宁辽阳111003 [2]沈阳工业大学信息工程学院,辽宁沈阳110870

出　　处：《电子设计工程》2013年第18期53-55,共3页Electronic Design Engineering

摘　　要：根据粗糙集理论,实现步战车故障诊断专家系统知识自动获取。首先根据历史故障数据建立决策表,利用粗糙集数据挖掘算法对决策表进行属性约简,对得到的决策表消除冗余,再利用属性值约简算法对决策表进行属性值约简,最后得到决策规则。知识库由条件表、结论表和事实表组成,保存在Access2003中。把条件属性保存到知识库的条件表中,把决策属性保存到知识库的结论表中,这样就很方便的建立了知识库。Based on the rough set theory, caterpillar infantry chariots fault diagnosis expert system achieve knowledge of automatic acquisition. First of all, based on historical failure data, establish a decision table,and take advantage of data mining algorithm of rough set for the attribute reduction of decision table, eliminating the redundancy of decision table. The decision rules is obtained, take advantage of the attribute value reduction algorithm for attribute value reduction. Knowledge base is composed of condition table, the conclusion table and fact table, saving in the Access2003. The condition attribute kept in the condition-table of the knowledge base. The decision attribute kept in the condition-table of the knowledge base .it is convenient to establish the knowledge base.

关 键 词：粗糙集理论 知识自动获取 专家系统知识库 知识约简 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]