• DocumentCode
    3452601
  • Title

    Rough sets with strict and weak indiscernibility relations

  • Author

    Slowinski, Roman

  • Author_Institution
    Inst. of Comput. Sci., Tech. Univ. of Poznan, Poland
  • fYear
    1992
  • fDate
    8-12 Mar 1992
  • Firstpage
    695
  • Lastpage
    702
  • Abstract
    Rough sets theory is a tool for vague data analysis. The idea of the rough set consists in approximation of a set by a pair of sets called the lower and upper approximation of the set. The definition of the approximations follows from an indiscernibility relation between elements of the set, called objects. Objects are described by attributes of a qualitative or quantitative nature. In the case of quantitative attributes, the indiscernibility relation has been originally defined after partition of the real scale into a finite number of intervals. The bounds of the intervals are more or less arbitrary and may influence the result of the rough sets analysis. To capture this influence, the author introduces a strict and a weak indiscernibility relation and, according to them, the lower and upper approximations and the measures of vagueness are generalized
  • Keywords
    fuzzy set theory; fuzzy set theory; lower approximation; measures of vagueness; qualitative attributes; quantitative attributes; rough sets; strict indiscernibility relations; upper approximation; weak indiscernibility relations; Blood pressure; Data analysis; Diseases; Estimation error; Fuzzy set theory; Information systems; Probability; Rough sets; Statistics; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1992., IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0236-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.1992.258742
  • Filename
    258742