• DocumentCode
    1841731
  • Title

    Fuzzy Composite Concepts based on human reasoning

  • Author

    Wagner, Christian ; Hagras, Hani

  • Author_Institution
    Comput. Intell. Centre, Univ. of Essex, Colchester, UK
  • fYear
    2010
  • fDate
    4-6 Aug. 2010
  • Firstpage
    308
  • Lastpage
    313
  • Abstract
    Fuzzy Logic Systems (FLSs) provide a proven toolset in mimicking human reasoning. In this paper, we will present the idea of Fuzzy Composite Concepts (FCCs) which allow for a closer imitation of human reasoning in terms of integrating a large number of parameters into a single concept suitable for higher level reasoning. FCCs are based on standard FLSs and transparently extend them to provide intuitively interpretable rule bases and improve resilience and reusability of the overall FLS. We are providing an overview of the philosophical concepts behind FCCs and discuss their applicability. We describe the implementation of FCCs and demonstrate their benefits using real world examples based on our work in Ambient Intelligent Environments.
  • Keywords
    fuzzy logic; fuzzy reasoning; knowledge based systems; ambient intelligent environment; fuzzy composite concept; fuzzy logic system; higher level reasoning; human reasoning; interpretable rule bases; philosophical concept; Cognition; FCC; Fuzzy logic; Fuzzy systems; Humans; Meteorology; Uncertainty; Ambient Intelligence; Composite Concepts; Fuzzy Logic Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2010 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-8097-5
  • Type

    conf

  • DOI
    10.1109/IRI.2010.5558921
  • Filename
    5558921