摘要
数据仓库中的维数据或度量数据都是确定的,其多维分析也是基于确定数据展开的。在现实中,由于环境的复杂与不确定性,常常需要对模糊数据进行多维分析。文章利用隶属度函数实现确定数据的模糊化,形成基于模糊数据的数据立方体,用以展开多维分析。
The dimension data or measurement data in data warehouse is determined, and the multi-dimensional analysis on it is also carried out based on the established data. In reality, due to the complexity and uncertainty of environment, the multi-dimensional analysis for fuzzy data is often needed. In this paper we achieve the fuzzification of determined data by using membership functions, generate the data cube based on the fuzzy data and conduct multi-dimensional analysis on it.
出处
《计算机时代》
2010年第11期51-52,55,共3页
Computer Era
关键词
数据仓库
数据立方体
模糊化
维表
多维分析
data warehouse
data cube
fuzzification
dimension table
multi-dimensional analysis
