计算机工程与应用Issue(15)：130-132,3.DOI:10.3778/j.issn.1002-8331.1111-0320
基于属性重要性的粗糙集属性约简方法
Rough set reduction method of attribute based on importance of attribute
摘要
Abstract
Attribute reduction in information system is an important step during knowledge acquisition using Rough set. This paper focuses on the research of feature selection, deleting superfluous attributes in an information system. The new algorithm begins with the attribute significance, adopting iterative feature selection standard, making the selected feature attribute set get smaller, thus it acquires the reduction of information system. The experiment demonstrates that this method is feasible and effective.关键词
信息系统/属性重要性/属性约简/核属性Key words
information system/attribute significance/attribute reduction/core attribute分类
信息技术与安全科学引用本文复制引用
廖启明,龙鹏飞..基于属性重要性的粗糙集属性约简方法[J].计算机工程与应用,2013,(15):130-132,3.基金项目
国家自然科学基金（No.10926189，No.10871031）；湖南省自然科学衡阳联合基金（No.10JJ8008）；湖南省教育厅重点项目（No.10A015）。 （）
