• DocumentCode
    3078410
  • Title

    Algebric properties of rough sets using topological characterisations and approximate equalities

  • Author

    Tripathy, B.K. ; Mitra, Abhijit

  • Author_Institution
    Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The notion of rough sets [4] was used by Novotny and Pawlak [1, 2, 3] to introduce the concept of rough equality, in order to incorporate user knowledge in determining the equality of sets, which is a natural phenomenon in day to day life. Even this notion was shown to be deficient and was extended by Tripathy et al [6, 9] to define the notion of rough equivalence of sets, which is more suitable in real life situations. Tripathy [7] added two more approximate equalities to this list in order to complete the kinds of approximate equalities. Algebraic properties of sets with mathematical equality have very little meaning when sets are replaced with rough sets. As a consequence, replacing equality by rough equivalence the algebraic properties were studied by Tripathy et al [10]. In our present work, we have made an analysis of the validity of the algebraic properties with respect to the four kinds of approximate equalities and provide a comparative study to establish that rough equivalence is the best and rough equality is the worst among these approximate equalities with respect to the algebraic properties involving rough sets. The topological characterisations of rough sets leading to four types of rough sets and operations on them [8] are being used in the sequel. We support our descriptions with a running real life example of shares.
  • Keywords
    algebra; approximation theory; rough set theory; topology; algebraic properties; approximate equalities; mathematical equality; rough equality concept; rough equivalence; rough set theory; topological characterisations; Approximation methods; Companies; Computational intelligence; Conferences; Finite element analysis; Rough sets; Stock markets; Approximate Rough Equality; Approximate Rough Equivalence; Rough Equality; Rough Equivalence; Rough Set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724196
  • Filename
    6724196