• DocumentCode
    3422065
  • Title

    Granular resolution and granular reasoning

  • Author

    Lin Yan ; Qing Liu

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Henan normal Univ., Xinxiang, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    668
  • Lastpage
    671
  • Abstract
    Granular resolution and granular reasoning are important research results on granular computing. The relationship between them is an interesting topic, which is studied in this paper. The investigations show that a G-resolvent sequence, the representation of granular resolution, is a sufficient condition for granular reasoning. Moreover, further research ideas have been raised, which are aimed at getting the necessary and sufficient condition for granular reasoning. These build a bridge between granular resolution and granular reasoning.
  • Keywords
    inference mechanisms; G-resovlent sequence; granular reasoning; granular resolution; Artificial intelligence; Bridges; Computer science; Educational institutions; Information technology; Logic; Stress; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255036
  • Filename
    5255036