• DocumentCode
    506830
  • Title

    A Classification Algorithm of Continuous Domain Decision Table

  • Author

    Liu Wenjun

  • Author_Institution
    Dept. of Math. & Comput. Sci., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    3
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    3
  • Lastpage
    6
  • Abstract
    First, the definition of similarity degree of objects in continuous domain decision table is given; then, according to fuzzy clustering, an attribute reduct and attribute significance algorithm of continuous domain decision table is put forward; thirdly, a classification algorithm is proposed according to the principle of maximum membership degree; at last, the validity of this classification algorithm is accounted for through an example.
  • Keywords
    decision tables; fuzzy set theory; pattern classification; pattern clustering; classification algorithm; continuous domain decision table; fuzzy clustering; maximum membership degree; Cities and towns; Classification algorithms; Clustering algorithms; Decision support systems; Fuzzy systems; Machine learning; Machine learning algorithms; Mathematics; Pattern recognition; Set theory; attribute value; classification; decision class; membership degree; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.571
  • Filename
    5358491
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=506830