基于模糊关联规则的汽车评价知识构建及应用  

Knowledge Construction and Application for Car Evaluation Based on Fuzzy Association Rules

作　　者：王素格[1] 郭晓敏[1] 张少霞[1] 

机构地区：[1]山西大学计算机与信息技术学院,太原030006

出　　处：《山西大学学报（自然科学版）》2016年第3期423-428,共6页Journal of Shanxi University(Natural Science Edition)

基　　金：国家自然科学基金(61272095;61432011;61573231;61175067);山西省科技基础条件平台计划项目(2015091001-0102);山西省回国留学人员科研项目(2013-014)

摘　　要：基于模糊概念格构建的汽车评价知识库可以通过概念及格结构刻画知识与知识间的层次关系。若从汽车评价数据中挖掘关联知识将对汽车性能推理具有非常重要的作用。文章运用模糊关联规则格的方法对基于模糊概念格表示的知识库进行改进。为了提高模糊关联规则提取的性能,将部分参数进行重新定义,用于构建汽车评价的关联知识,以补充和完善模糊概念格表示的知识。在此基础上,依据模糊关联规则对汽车缺省的评价信息进行推理。Knowledge and hierarchical relationship are described by concept and the lattice construction in car evaluation knowledge base based on fuzzy concept lattice. Mining association knowledge from car evaluation data is an important stage in the construction of knowledge base. This paper improves the knowledge base by applying fuzzy association rule lattice,redefines the parameters in the extraction process of fuzzy association rules,finally products the association knowledge. Based on the fuzzy association rules, the default information can be supplemented in car evaluation knowledge base by using reasoning.

关 键 词：知识库 模糊关联规则 模糊概念规则格 兴趣度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]