• DocumentCode
    2664259
  • Title

    A method for knowledge representation with automatic uncertainty embodiment

  • Author

    Campos, Fabio ; Cavalcante, Sérgio

  • Author_Institution
    Faculdade Marista, Univ. Fed. de Pernambuco, Recife, Brazil
  • fYear
    2003
  • fDate
    26-29 Oct. 2003
  • Firstpage
    102
  • Lastpage
    107
  • Abstract
    A key issue in dealing with knowledge representation is how to combine evidences from different sources, modelling adequately its uncertainty and conflict. A popular formalism to model someone´s degrees of belief is the Theory of Evidence, or Dempster-Shafer Theory. This theory lacks a mean of automatic uncertainty embodiment, which limits the range of application of this theory, and, at the same time, leads to a potential disregard of hypothesis that otherwise could add information to the system. We present a way to modify the Theory of Evidence, able to solve the counter intuitive behavior.
  • Keywords
    inference mechanisms; knowledge representation; uncertainty handling; Dempster-Shafer Theory; Theory of Evidence; automatic uncertainty embodiment; knowledge representation; Bayesian methods; Counting circuits; Knowledge representation; Marketing and sales; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-7902-0
  • Type

    conf

  • DOI
    10.1109/NLPKE.2003.1275876
  • Filename
    1275876