• DocumentCode
    3452082
  • Title

    Relative possibility

  • Author

    An, Z. ; Bell, D.A. ; Hughes, J.G.

  • Author_Institution
    Dept. of Inf. Syst., Ulster Univ., Jordanstown, Newtonabbey, UK
  • fYear
    1992
  • fDate
    8-12 Mar 1992
  • Firstpage
    1105
  • Lastpage
    1112
  • Abstract
    The authors describe a new uncertain knowledge representing method, called RES (relative evidential support, or relative evidence strength), based on representing arguments and their relative strengths. It is shown that in one of its simplest forms, RES represents the same sort of uncertain information as that represented by a possibility distribution, though the starting points of these two models are quite different. RES is compared to the possibility model, showing that while numbers are convenient, they are not always trustworthy and sometime are even undesirable. Using an example, it is also shown that RES may reflect some intuitive meaning of defaults
  • Keywords
    fuzzy set theory; knowledge representation; argument representation; possibility distribution; relative evidence strength; relative evidential support; relative possibility; uncertain knowledge representation; Fuzzy sets; Information representation; Information systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1992., IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0236-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.1992.258705
  • Filename
    258705