• DocumentCode
    2145125
  • Title

    Isomorphism Between Information Tables for Tolerance and Classical Rough Sets

  • Author

    Meng, Jun ; Tsauyoung Li ; Chen, Zehua ; Wang, Xiukun ; Wang, Peng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    735
  • Lastpage
    738
  • Abstract
    Tolerance relations are more generic than equivalence relations from viewpoint of Granular Computing. But it cannot to be used to divide a set directly. Based on neighborhood system of tolerance relation, we can get the induced partition. We propose the extended information table of tolerance rough sets. An example is given to illustrate the continuity of named quotient spaces, so the information table between tolerance and classical rough set is isomorphism.
  • Keywords
    artificial intelligence; isomorphism; rough set theory; equivalence relation; granular computing; information table; isomorphism; neighborhood system; tolerance relation; tolerance rough set; Computational modeling; Computer science; Intelligent systems; Knowledge based systems; Knowledge representation; Relational databases; Rough sets; granular computing; isomorphism; named quotient space; 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.2010.87
  • Filename
    5576057