• DocumentCode
    3431975
  • Title

    Variable precision multi-granulation rough set

  • Author

    Wei, Wei ; Liang, Jiye ; Qian, Yuhua ; Wang, Feng

  • Author_Institution
    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    536
  • Lastpage
    540
  • Abstract
    Multi-granulation rough set model is an important generalization of Pawlak´s rough set model. To enhance its capability of dealing with noisy data, in this paper, we proposed the variable precision multi-granulation rough set model and the variable precision weighted multi-granulation rough set model by loosing the requirement of accuracy on each granulation. Furthermore, we gave some important properties, and analyzed the relationships between existing multi-granulation rough set models and the proposed models.
  • Keywords
    Analytical models; Granular computing; Multi-granulation; Rough set; Variable precision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2012 IEEE International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4673-2310-9
  • Type

    conf

  • DOI
    10.1109/GrC.2012.6468650
  • Filename
    6468650