• DocumentCode
    3670327
  • Title

    Probabilistic tolerance rough set model

  • Author

    Junhai Zhai;Bin Wan;Sufang Zhang

  • Author_Institution
    College of Mathematics and Computer Science, Hebei University, Baoding 071002, China
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    The probabilistic method have been applied to rough set theory in several forms, such as variable precision rough set model, decision-theoretic rough set model and probabilistic rough set model. All of them are extension of the original rough set model developed by Pawlak, and these models are all based on equivalence relation. In this paper, the idea of tolerance relation instead of equivalence relation is introduced into the probabilistic rough set model, and the probabilistic tolerance rough set (PTRSM) is proposed. The properties of lower approximation operator and upper approximation operator of PTRSM are investigated, and furthermore, the relations with other rough set models are also studied.
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2015.7295953
  • Filename
    7295953