模式识别与人工智能
Saturday, May. 3, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2018, Vol. 31 Issue (11): 986-996    DOI: 10.16451/j.cnki.issn1003-6059.201811003
Papers and Reports Current Issue| Next Issue| Archive| Adv Search |
Hesitant Fuzzy Rough Set Approach Based on Optimistic and Pessimistic Strategies
LI Jianzhuo1
1.School of Computer, Baoji University of Arts and Sciences, Baoji 721013

Download: PDF (570 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  The existing hesitant fuzzy rough set model does not take the multi-source information into account. To solve this problem, an optimistic strategy based multigranulation hesitant fuzzy rough set model and a pessimistic strategy based multigranulation hesitant fuzzy rough set model are proposed, respectively. The properties of the two models are shown. Finally, the approximate sets under optimistic version and pessimistic version are analyzed by an example of a multi-source information system.
Key wordsHesitant Fuzzy Set      Multigranulation      Optimistic      Pessimistic      Rough set     
Received: 29 March 2018     
ZTFLH: TP 18  
Fund:Supported by National Natural Science Foundation of China(No.51207002), Special Project of Scientific Research of Education Department of Shaanxi Province(No.15JK1028),University Key Project of Baoji University of Arts and Sciences(No.zk2017004)
About author:: LI Jianzhuo, master, lecturer. His research interests include pattern recognition.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
LI Jianzhuo
Cite this article:   
LI Jianzhuo. Hesitant Fuzzy Rough Set Approach Based on Optimistic and Pessimistic Strategies[J]. , 2018, 31(11): 986-996.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201811003      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2018/V31/I11/986
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