• DocumentCode
    2144511
  • Title

    Extension of Rough Set Theory Based on Strict Similarity Relation

  • Author

    Chen, Meng ; Xia, Xin

  • Author_Institution
    Dept. of Comput., Nanchang Univ. Nanchang, Nanchang, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    666
  • Lastpage
    668
  • Abstract
    From researching tolerance relation and valued tolerance relation, we draw a conclusion that the “similarity” of two objects in incomplete information systems defined by tolerance relation and having missing attribute values is very low. We introduce a new extension of rough set based on strict similarity relation, in which the missing values are considered as “any value”, denoted by *. We regard * as a specific attribute value, two * values are equal, * is not equal to any other attribute values. By strict similarity relation we convert incomplete information systems to complete information systems, the new extension not only overcomes the shortcomings of tolerance relation, but also makes classical rough set theory can be directly used to deal with incomplete information systems.
  • Keywords
    rough set theory; tolerance analysis; complete information systems; incomplete information systems; rough set theory; strict similarity relation; tolerance relation; valued tolerance relation; Approximation methods; Cognition; Data mining; Information systems; Integrated circuits; Rough sets; rough set; strict similarity relation; tolerance relation; valued tolerance relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.20
  • Filename
    5576028