• DocumentCode
    578082
  • Title

    Variable precision rough fuzzy set model based on general relations

  • Author

    Tsang, E.C.C. ; Ma, Weimin ; Sun, Bingzhen

  • Author_Institution
    Fac. of Inf. Technol., Macau Univ. of Sci. & Technol., Taipa, China
  • Volume
    1
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    195
  • Lastpage
    199
  • Abstract
    In order to effectively handle the real-valued data sets in practice, it is valuable from theoretical and practical aspects to combine fuzzy rough set (FRS) and variable precision rough set (VPRS) so that a powerful tool can be developed. That is, the model of fuzzy variable precision rough set (FVPRS), which not only can handle numerical data but also is less sensitive to misclassification and perturbation,In this paper, we propose a new variable precision rough fuzzy set by introducing the variable precision parameter to generalized rough fuzzy set, i.e., the variable precision rough fuzzy set based on general relation. We define the lower and upper approximations of any fuzzy set with variable precision parameter by constructive approach. Then we establish the relation between the model proposed in this paper and the existing models. Finally, we present the properties of the proposed model in detail. The results enrich the theory and also extend the application fields for rough set theory.
  • Keywords
    approximation theory; fuzzy set theory; rough set theory; FRS; FVPRS; VPRS; fuzzy variable precision rough set; general relations; lower approximations; numerical data; real-valued data sets; upper approximations; variable precision parameter; variable precision rough fuzzy set model; Abstracts; Barium; Rough set; general relations; knowledge representation; variable precision rough fuzzy set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6358911
  • Filename
    6358911