• DocumentCode
    2385714
  • Title

    A Study of Information Granules

  • Author

    Wang, Xiaosheng

  • Author_Institution
    Jimei Univ., Xiamen
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    50
  • Lastpage
    50
  • Abstract
    Rough set theory is based on information granules. This paper studies information granules based on a decision logic language in information tables. In this paper, the theorems of determining definable granules and definable partitions are given. Furthermore, this paper gives the definitions of the definable upper and lower approximations of indefinable granules, and studies their properties. Through the descriptions of the definable upper and lower approximations, we propose a way of describing indefinable granules. As a result, we can obtain some explicit and useful information on indefinable granules. This is then an approach to discover knowledge hidden in indefinable granules.
  • Keywords
    data mining; formal languages; rough set theory; decision logic language; information granule; information table; knowledge discovery; rough set theory; Information analysis; Logic; Muscles; Natural languages; Problem-solving; Set theory; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2007. GRC 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3032-1
  • Type

    conf

  • DOI
    10.1109/GrC.2007.80
  • Filename
    4403065