• DocumentCode
    270885
  • Title

    Analyzing fuzzy association rules with Fingrams in KEEL

  • Author

    Pancho, David P. ; Alonso, J. Marcos ; Alcalá-Fdez, Jesús ; Magdalena, Luis

  • Author_Institution
    Eur. Centre for Soft Comput., Mieres, Spain
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2352
  • Lastpage
    2359
  • Abstract
    This work presents the full integration of fuzzy inference-grams (Fingrams) in KEEL to visual analysis of fuzzy association rules. Fingrams graphically represent fuzzy rule-based systems (FRBSs) in 2D graphs that illustrate the interaction among fuzzy rules in terms of rule cofiring, i.e., paying attention to rule pairs simultaneous fired by a given input. The new module allows to generate Fingrams for fuzzy association rules created in the suite KEEL, that can be afterwards analyzed to comprehend the system behavior and improve it. We sketch the use and potentials in an illustrative example built in KEEL over a real-world dataset including qualitative assessments of a set of design chairs.
  • Keywords
    data mining; fuzzy reasoning; knowledge based systems; 2D graphs; Fingrams; KEEL software; fuzzy association rules; fuzzy inference-grams; fuzzy rule-based systems; qualitative assessments; rule cofiring; visual analysis; Algorithm design and analysis; Association rules; Fuzzy systems; Graphical user interfaces; Measurement; Software; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-2073-0
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2014.6891870
  • Filename
    6891870