• DocumentCode
    3782914
  • Title

    Application of fuzzy logic in CA/LGCA models as a way of dealing with imprecise and vague data

  • Author

    B. Di Stefano;H. Fuks;A.T. Lawniczak

  • Author_Institution
    Nuptek Syst. Ltd., Toronto, Ont., Canada
  • Volume
    1
  • fYear
    2000
  • Firstpage
    212
  • Abstract
    The authors discuss how to address qualitative aspects and problems of imprecise and vague data in modelling dynamics of spread of epidemics. As a possible solution we propose superposition of fuzzy logic with lattice gas cellular automata.
  • Keywords
    "Fuzzy logic","Lattices","Automata","Mathematical model","Diseases","Mathematics","Statistics","Differential equations","Microstructure","Tiles"
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2000 Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-5957-7
  • Type

    conf

  • DOI
    10.1109/CCECE.2000.849701
  • Filename
    849701
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3782914