• DocumentCode
    2150935
  • Title

    Two Rough Approximations for Information Tables Containing Missing Values

  • Author

    Nakata, Michinori ; Sakai, Hiroshi

  • Author_Institution
    Josai Int. Univ., Togane, Japan
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    363
  • Lastpage
    368
  • Abstract
    A method of possible equivalence classes was developed to deal with missing values. To deal with imprecision of rough approximations that comes from missing values, the concepts of certainty and possibility were used. When an information table contains the missing values, two rough approximations, certain and possible ones, are obtained. The actual rough approximation is located between the certain and possible rough approximations. The method gives the same results as a method of possible worlds. This is a justification of the method of possible equivalence classes.
  • Keywords
    approximation theory; equivalence classes; knowledge representation; rough set theory; equivalence classes; information tables; rough approximations; Accuracy; Aggregates; Approximation methods; Conferences; Databases; Lattices; Rough sets; Incomplete information; Missing values; Possible equivalence classes; Rough approximations; Rough sets;
  • 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.2010.139
  • Filename
    5576291