• DocumentCode
    3291987
  • Title

    Attribute Composition Distribution and Rough Law Status Estimation

  • Author

    Huang, Shun-liang ; Zhang, Guan-yu ; Zhang, Ling ; Shi, Kai-quan

  • Volume
    5
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    246
  • Lastpage
    250
  • Abstract
    Function S-rough sets has dynamic characteristics and law characteristics. By employing function S-rough sets and the method of law generation, this paper proposes the concepts of attribute composition distribution and rough law distance. Then by using these concepts, this paper analyzes the relations between attribution composition distribution with rough law, moreover presents a series of theorems about the relations between rough law decomposition with attribute composition distribution. At last, an example is given for explaining the rough law status estimation. The results of this paper are the theory base of law mining and system status recognition.
  • Keywords
    equivalence classes; functional analysis; rough set theory; attribute composition distribution; function S-rough sets; law generation; law mining; rough law status estimation; system status recognition; Conference management; Control systems; Engineering management; Fuzzy systems; Knowledge engineering; Knowledge management; Technology management; Attribute composition distribution; Function S-rough sets; Law mining; Rough law; Status recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.216
  • Filename
    4666531