华侨大学学报（自然科学版）2013，Vol.34Issue(1)：10-13,4.
基于相对核的属性约简
Attribute Reduction Based on the Relative Core
摘要
Abstract
From the point of view of relative core, this paper proposes a new attribute reduction method. Firstly, the condition attributes and the decision attributes are used to calculate the positive domain. Then, the relative core of the condition attributes is got based on the positive domain. Secondly, the samples are divided with these relative core attributes. At the end of this division, the samples that can be divided correctly is deleted. And then the samples are reduced. This iteration continues until the samples are completely divided. At last, the union of relative core is got and redundant information is removed, and then attribute reduction set is obtained. This method can use core attributes to divide the samples directly. No longer to calculate the important degree of each attribute, and then the amount of computation are reduced. In each iteration process, the samples, the search space and the time complexity are reduced.关键词
粗糙集/属性约简/正域/相对核Key words
rough set/ attribute reduction/ positive domain/ relative core分类
信息技术与安全科学引用本文复制引用
王健,徐余法,陈国初..基于相对核的属性约简[J].华侨大学学报（自然科学版）,2013,34(1):10-13,4.基金项目
上海市教委重点科学基金资助项目(J51901,09ZZ211) （J51901,09ZZ211）
上海市自然科学基金资助项目(11ZR1413900) （11ZR1413900）
上海电机学院重点科学基金资助项目(09XKJ01) （09XKJ01）
