摘要
模糊查询是OLAP领域的一个重要研究课题。该文对模糊OLAP查询及操作进行了形式化描述;在此基础上,针对某一概念过滤掉隶属度低的数据,并应用降维思想和模糊C均值聚类算法进行聚类,从而使得查询匹配的复杂度降低。实验结果表明,算法是有效的,提高了查询的效率。
Fuzzy query and operation. It filters dimensionality reduction results show the method is an important filed in OLAP. This paper gives a formalization of fuzzy OLAP query out the low degree of membership date for a ＂concept＂ using fuzzy fuction, then the and FCM algorithm are used to cluster, so it can get a low complexity. Experimental is effective to improve the effciency of the query.
出处
《杭州电子科技大学学报（自然科学版）》
2013年第1期48-51,共4页
Journal of Hangzhou Dianzi University：Natural Sciences
关键词
模糊查询
隶属度
过滤
降维
fuzzy query
degree of membership
filter out
dimensionality reduction
