• DocumentCode
    507222
  • Title

    Fuzzy Sets in Case-Based Reasoning

  • Author

    Voskoglou, Michael Gr

  • Author_Institution
    Sch. of Technol. Applic., Grad. Technol. Educ. Inst. (T.E.I.), Patras, Greece
  • Volume
    6
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    252
  • Lastpage
    256
  • Abstract
    Both Case-Based Reasoning (CBR) and Fuzzy Systems are intended as cognitively more plausible approaches to problem-solving and learning. The two corresponding fields have emphasized different aspects that complement each other in a reasonable way. In the present paper we introduce a fuzzy model for the representation of a CBR system, which is based on the formalization of CBR as a four steps process (retrieve, reuse, revise, retain). An application is also presented to illustrate our results.
  • Keywords
    case-based reasoning; fuzzy set theory; case-based reasoning; fuzzy model; fuzzy sets; fuzzy systems; problem solving; Artificial intelligence; Competitive intelligence; Concrete; Educational technology; Fuzzy sets; Fuzzy systems; Intelligent systems; Law; Problem-solving; Uncertainty; Fuzzy sets; case-based reasoning; uncertainty;
  • 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.2009.667
  • Filename
    5359840
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=507222