模式识别与人工智能
Monday, Apr. 7, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2006, Vol. 19 Issue (5): 572-577    DOI:
Papers and Reports Current Issue| Next Issue| Archive| Adv Search |
An Efficient Attribute Reduction Algorithm Based on Discernibility Object Pair Set
XU ZhangYan1,2, YANG BingRu1, SONG Wei1
1. School of Information Engineering, University of Science and Technology Beijing, Beijng 100083
2. Department of Computer, Guangxi Normal University, Guilin 541004

Download: PDF (308 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  The definition of discernibility object pair set and the corresponding definition of attribute reduction are introduced. It is proved that the definition of attribute reduction is equivalent to the one based on positive region. Since U/C is important for computing the discernibility object pair set, an algorithm for computing U/C is designed, whose time complexity is cut down to O(|C||U|). Under this condition, an efficient attribute reduction algorithm is proposed, whose time and space complexity are cut down to O(|C||U|)+O(|C|(|U/C|2)) and O(|U|)+O(|U/C|2) respectively. Finally, an example is used to illustrate the efficiency of the new algorithm.
Key wordsRough Set      Modified Discernibility Matrix      Attribute Reduction      Discernibility
Object Pair Set
      Complexity     
Received: 04 April 2005     
ZTFLH: TP181  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
XU ZhangYan
YANG BingRu
SONG Wei
Cite this article:   
XU ZhangYan,YANG BingRu,SONG Wei. An Efficient Attribute Reduction Algorithm Based on Discernibility Object Pair Set[J]. , 2006, 19(5): 572-577.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2006/V19/I5/572
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn