基于粗集理论的多因素数据分析  

Multi-factor data analysis based on rough set theory

作　　者：黄广龙 余忠华[1] 吴昭同[1] 余军合[1] 

机构地区：[1]浙江大学机械与能源学院,浙江杭州310027

出　　处：《浙江大学学报（工学版）》2001年第5期507-510,共4页Journal of Zhejiang University：Engineering Science

基　　金：国家自然科学基金资助项目 (79970 0 32 )

摘　　要：当利用不等重复的、散乱的数据去分析指标与多个因素之间的关系时 ,粗糙集合的有关理论 ,引入支持度作为因素和指标之间关联的度量 ,同时介绍了计算支持度的方法 ;提出了交互度的概念和计算方法 ,将其作为几个因素之间的交互效应对指标影响的度量 .以农用车为例对其若干因素与性能之间的关联进行分析 ,说明了该方法实用可行 .When analyze the relation according to raw and/or random data, sometimes the method used now is not sufficient. Rough set theory has powerful ability to analyze the raw data . Based on the rough set theory, the support degree is introduced to act as measurement of relation between factors and objects. And the method to calculate support degree is introduced. Concept of intersection degree is set forth to measure the degree of several factors intersecting. At the same time, the arithmetic to compute intersection degree is set forth either. At last, feasibility of the method is proved by using it to analyze relationship between factors and performance of agriculture transportation vehicle.

关 键 词：粗集理论 多因素分析 关联 交互性 农用车 

分 类 号：O29[理学—应用数学]