• DocumentCode
    2923181
  • Title

    Class-based Rough Approximation with dominance principle

  • Author

    Chai, Junyi ; Liu, James N K

  • Author_Institution
    Dept. of Comput., Hong Kong Polytech. Univ., Kowloon, China
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    77
  • Lastpage
    82
  • Abstract
    Dominance-based Rough Set Approach (DRSA), as the extension of Pawlak´s Rough Set theory, is effective and fundamentally important in Multiple Criteria Decision Analysis (MCDA). In previous DRSA models, the definitions of the upper and lower approximations preserve the class unions rather than the singleton class. In this paper, we propose a new Class-based Rough Approximation with respect to different DRSA models including Classical DRSA model, VC-DRSA model and VP-DRSA model. In addition, we explore the new class-based reducts and their relations.
  • Keywords
    approximation theory; rough set theory; DRSA; MCDA; Pawlak rough set theory; class based rough approximation; dominance based rough set approach; dominance principle; multiple criteria decision analysis; Analytical models; Approximation methods; Computational modeling; Conferences; Optimization; Transmission line measurements; Uncertainty; decision class; dominance principle; multiple criteria decision analysis; rough set approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122571
  • Filename
    6122571