• DocumentCode
    3273932
  • Title

    Rough Communication Based on the General Relationship and Fuzzy Relationship

  • Author

    Deng Tingquan ; Ma Minghua ; Xie Wei

  • Author_Institution
    Inst. of Sci., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    16-18 Jan. 2013
  • Firstpage
    1233
  • Lastpage
    1237
  • Abstract
    The communication between the information systems is a basic problem in granular computing. In this paper, the equivalence relation in the information system is extended to the general binary relation. Lower approximation rough communication models based on general binary relations are proposed. The fundamental properties of the new models are investigated. Furthermore, the six composition operators of lower and upper approximation operators form three pairs of dual operators. Based on the three pairs of dual operators, new models of rough communication are constructed. Finally, fuzzy rough communication is proposed. Gain degree and loss degree are proposed to judge the fuzzy rough communication.
  • Keywords
    fuzzy set theory; granular computing; rough set theory; dual operator; equivalence relation; fuzzy relationship; fuzzy rough communication; general binary relation; general relationship; granular computing; information system; Intelligent systems; fuzzy rough communication; general binary relation; rough communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-4893-5
  • Type

    conf

  • DOI
    10.1109/ISDEA.2012.291
  • Filename
    6455619