• DocumentCode
    895872
  • Title

    Fuzzy multimodels

  • Author

    Pedrycz, Witold

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
  • Volume
    4
  • Issue
    2
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    139
  • Lastpage
    148
  • Abstract
    Fuzzy multimodeling is concerned with the design and utilization of families rather than a single model. The intent is to approximate data that are originated by phenomena whose nature is more relation based than function oriented. In general, fuzzy multimodels comprise a collection of local models M1, M2,···,MC along with the relevant mechanisms of their triggering and aggregating, aimed at assuring a suitable interaction between these models. The idea of multimodeling is contrasted with some other approaches to fuzzy modeling available in the current literature. The algorithmic details are laid down and illustrated through several detailed simulation studies
  • Keywords
    fuzzy set theory; fuzzy systems; modelling; optimisation; pattern recognition; aggregating mechanism; fuzzy clustering; fuzzy multimodels; multimodeling; optimisation; triggering mechanism; Clustering algorithms; Councils; Noise level;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/91.493908
  • Filename
    493908
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=895872