• DocumentCode
    3580584
  • Title

    On Some Generalized Relations

  • Author

    Tripathy, B.K. ; Satapathy, M.K. ; Choudhury, P.K.

  • Author_Institution
    SCSE, VIT Univ., Vellore, India
  • fYear
    2014
  • Firstpage
    714
  • Lastpage
    718
  • Abstract
    Crisp set relations have been generalised to fuzzy relations, intuitionistic fuzzy relations, rough relations and also some hybrid relations related to these notions. Rough set is a fruitful model to capture imprecision in data. There are two approaches to the rough set notion. The approach by Pawlak is topological by nature and the approach of Iwinski is algebraic by nature. In this paper we define several generalised relations where the rough set definition considered is that of Iwinski and prove many properties of these relations. These relations can be used in different fields of computer science like, databases, artificial intelligence, granular computing and soft computing. We illustrate by example the structures of most of the concepts introduced in the paper.
  • Keywords
    fuzzy set theory; rough set theory; artificial intelligence; computer science; crisp set relations; databases; generalized relations; granular computing; hybrid relations; intuitionistic fuzzy relations; rough relations; rough set notion; soft computing; Communication networks; Computational intelligence; fuzzy set; intuitionistic fuzzy set; relations; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6928-9
  • Type

    conf

  • DOI
    10.1109/CICN.2014.156
  • Filename
    7065576