• DocumentCode
    499041
  • Title

    Implication rules in interval-valued decision formal contexts

  • Author

    Shao, Ming-wen ; Yang, Hong-zhi

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Shihezi Univ., Shihezi, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    204
  • Lastpage
    209
  • Abstract
    In the paper, we introduce the notion of interval-valued decision formal contexts by dividing the attributes into condition attributes and decision attributes. Based on a implication mapping, problems of rule acquisition of real decision formal contexts are examined. We present how to extract ldquoif-thenrdquo rules from the interval-valued decision formal contexts in details.
  • Keywords
    data analysis; set theory; condition attributes; decision attributes; formal concept analysis; interval-valued decision formal contexts; Cybernetics; Machine learning; Concept lattice; Formal concept analysis; Real Sets; Rule acquisition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212509
  • Filename
    5212509
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=499041