摘要
利用粗集理论,通过建模构造了数据集在约简前后的信息损失表达的灰色区域,将少数优先和多数优先的统计策略包含到灰色区域之中,并利用该区域,提出了一种灰色区域表征的σδ—近似约简方法,通过仿真实验,对提出的方法进行了验证。该方法按照人的要求调整阈值获得问题所需解的思想体现了人机结合以人为主的思想。
Rough set theory was used to establish the gray region, which represents information loss before and after the reduction by modeling, thus making the gray region contain both minority and majority precedence strategy. A kind of σδ- approximate reduction approach represented by the gray region was then put forward. The simulation experiment has been made to testify this approach. The approach also demonstrates man -centered notion in man -machine combination by adjusting threshold value according to man＇s needs.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第11期68-71,共4页
Journal of Chongqing University
基金
安徽省自然科学基金资助项目(070412061)
博士学科点专项科研基金资助项目(20050359012)
关键词
粗集理论模型
近似约简
属性约简
灰色区域
rough set theory model
approximate reduction
feature reduction
gray region
