• DocumentCode
    2315331
  • Title

    Strengthening fuzzy gradual rules through “all the more” clauses

  • Author

    Bouchon-Meunier, Bernadette ; Laurent, Anne ; Lesot, Marie-Jeanne ; Rifqi, Maria

  • Author_Institution
    Univ. Pierre et Marie Curie - Paris 6, Paris, France
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Fuzzy gradual rules of the form the more X is A, the more Y is B linguistically express information about the correlation between attributes and their co-variation. They thus provide valuable information summarizing the trends observed in a given data set. In this paper, we consider strengthened fuzzy gradual rules, i.e. gradual rules enriched with a clause introduced by the expression “all the more”: such rules of the form the more X is A, the more Y is B, all the more Z is C offer additional precisions on the relation between the attributes. We study the definition of such strengthened rules, discussing their possible semantics, considering several interpretations of fuzzy gradual rules. We then propose quality criteria as well as a mining algorithm.
  • Keywords
    data mining; fuzzy set theory; fuzzy gradual rules; information summarization; mining algorithm; quality criteria; Association rules; Correlation; Equations; Itemsets; Regression analysis; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584858
  • Filename
    5584858