期刊文献+

基于差别矩阵属性约简算法的改进 被引量:2

Improved Algorithm of Attribute Reduction Based on Discernibility Matrix
在线阅读 下载PDF
导出
摘要 利用差别矩阵计算约简的算法,具有直观、易理解和完备性的特点,但也存在一定缺点,差别矩阵中存在大量冗余元素,这类元素的生成和存储将造成时空上的浪费.文章给出的算法在生成差别矩阵时,判断其元素是否冗余,若是冗余立即约去它,从而提高属性的约简效率.实例表明,该算法是正确和有效的。 An algorithm based on discernibility matrix has intuitive, easily comprehend and the perfect feature, but it has the certain defect because of the massive redundant elements. There is waste of time and space in the process of forming and memorizing elements. In this paper, the algorithm judges whether matrix's elements are redundant when discernibility matrix is formed. If elements are redundant, they will be reduced in order to enhance the efficiency of attribute reduction. The example indicated that the algorithm was correct and effective.
出处 《淮北煤炭师范学院学报(自然科学版)》 CAS 2007年第3期53-56,共4页 Journal of Huaibei Coal Industry Teachers College(Natural Science edition)
基金 淮北煤炭师范学院教学研究项目资助(200630)
关键词 粗糙集理论 差别矩阵 差别函数 属性约简 rough set theory discernibility matrix discernibility function attribute reduction
  • 相关文献

参考文献4

二级参考文献3

  • 1PAWLAK Z. Rough Sets[J],International Journal of Information and Computer Sciences,1982,11(5):341-356.
  • 2SKOWRON A,RAUSZWR C. The discernibility matrices and functions in information system,in :R. Slowinski(Ed. ),Intelligent Decision Support: Handbook of Applications and Advances of Rough Sets Theory[M]. Dordrecht,Kluwer Academic Publishers, 1992: 331-362.
  • 3苗夺谦,胡桂荣.知识约简的一种启发式算法[J].计算机研究与发展,1999,36(6):681-684. 被引量:512

共引文献17

同被引文献17

引证文献2

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部