摘要
层次分析法作为运筹学方法,把复杂的决策系统层次化,通过逐层比较各种关联因素组建有效模型,为分析和决策提供定量的依据。该文提出的基于“层次分析法”的数据库预处理方法在数据仓库构建的数据清理阶段,对每个准备导入数据仓库的数据库进行3种数据指标(完整性、平滑性和一致性)的评估,以“层次分析法”的准则选择合适的数据库进行数据清理,提高数据预处理的效率。
Analytic hierarchy process （AHP） is put forward suits to multiple attribute decision problem of complicated hierarchy structure. With the AHP, complicated decision system is structured, weightiness of the connection factor is compared, validity model is formed, and quantitative basis for decision and analysis is provided. The database preprocessing approach on AHP is to evaluate every database for data warehousing building. And the approach selects the appropriate database to preprocess so as to raise the efficiency of data preprocessing. The model is an application to data cleaning in data preprocessing, so three data indexes, such as completeness, smoothness and consistency, are defined differently to incomplete, noisy, and inconsistent in data cleaning. The approach regards the three data indexes as a rule, insures the valuation＇s stability, flexibility and contrast, and increases the effects on data cleaning.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第13期56-58,61,共4页
Computer Engineering
基金
上海市高校科学技术发展基金资助项目(04AB29)
关键词
层次分析法
数据库预处理
完整性
平滑性
一致性
analytic hierarchy process
database preprocessing
completeness
smoothness
consistency
