• DocumentCode
    443950
  • Title

    Structure-based approaches to attribute reduction in variable precision rough set models

  • Author

    Inuiguchi, Masahiro

  • Author_Institution
    Dept. of Syst. Innovation, Osaka Univ., Japan
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    34
  • Abstract
    In this paper, structure-enhancing approaches to attribute reduction are proposed. Ten kinds of meaningful reducts are defined. The relations among them are clarified. Moreover their relations to reducts by structure-preserving approaches are also investigated. A few computational approaches to the proposed reducts are briefly described.
  • Keywords
    data reduction; rough set theory; attribute reduction; structure-based approach; variable precision rough set model; Information analysis; Rough sets; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547231
  • Filename
    1547231
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=443950