Research on Knowledge Base of Device Test Training System Based on Rough Set Data Mining

摘要：

　　The realization of a device test training system requires the use of a lot of domain knowledge,and building knowledge base will play an important role.In view of the uncertainty,inaccuracy and incompleteness of test data in the testing process,this paper makes the data mining algorithms based on rough set as knowledge acquisition algorithm,and proposes an improved algorithm for insufficient of approximate reduction of rough set knowledge based on the tolerance relation of incomplete information system.The paper studies the design and realization of knowledge base system in the developing of device simulation training system on this basis,and validates the method through a design example of knowledge base of a certain device simulation training system.

关键词： data mining knowledge base test training rough set

作者: LI Qing YANG Wei YE Xiaonan MA Xiaoxiao

作者单位: Air Force Logistics College, Jiangsu Xuzhou, 221000 China

会议类型: 国际会议

会议名称: 2013 International Conference on Intelligent System,Applied Materials and Control Technology(GSAMCT2013)(2013年智能系统、应用材料和控制技术国际会议)

会议地点: 太原

会议语种:英文

页码: 232-238

在线出版日期: 2013-01-13（万方平台首次上网日期，不代表论文的发表时间）