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基于覆盖粗糙集的属性约简 被引量:1

A novel method for attribute reduction based on covering rough sets
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摘要 利用覆盖粗糙集研究信息系统的属性约简.首先,回顾了覆盖粗糙集的基础知识,然后提出了相关类的概念以及几个相关定理,并且逐步阐述如何用相关类的方法来进行属性约简,最后用例子证明了此方法的可行性,并得出结论. Recently, many scholars try to extend the rough set theory to the more general situation. The approach to attribute reduction in information systems is studied based on covering rough sets. A review of some basic notions is first made related to covering rough sets. Then, the definition of relevant classes and several related theorems is given, and the method is presented for reducing attributes. Finally, an example is employed to show that the proposed reduction method is an effective technique.
出处 《渤海大学学报(自然科学版)》 CAS 2012年第3期193-196,共4页 Journal of Bohai University:Natural Science Edition
基金 国家自然科学基金(No:61070242)
关键词 粗糙集 属性约简 覆盖 相关类 rough sets attribute reduction covering relating categories
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参考文献12

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二级参考文献8

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共引文献1

同被引文献4

  • 1Pawlak Z. Rough sets[J].{H}International Journal of Computer and Information Sciences,1982,(11):341-356.
  • 2张文修;吴伟志;梁吉业.粗糙集理论与方法[M]{H}北京:科学出版社,2001.
  • 3张文修;梁怡;吴伟志.信息系统与知识发现[M]{H}北京:科学出版社,2003.
  • 4王长忠;陈德刚.基于粗糙集的知识获取理论与方法[M]{H}哈尔滨:哈尔滨工业大学出版社,2010.

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