• DocumentCode
    443957
  • Title

    Reasoning with belief structures: non monotonic compatibility relations

  • Author

    Yager, Ronald R.

  • Author_Institution
    Iona Coll., New Rochelle, NY, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    78
  • Abstract
    Our concern is with getting information about one variable using knowledge of a second variable. We use of Dempster-Shafer belief structure to provide a representation, in a granular form, of knowledge about a variable when we have some uncertainty in our knowledge. We introduce compatibility relations for representing the possible joint values of two variables. Our inference scheme involves using a compatibility relation and a belief structure on one variable to infer a belief structure on the second variable. Our concern is with the representation of different types of compatibility relations. A distinction introduced is between monotonic and non-monotonic compatibility relations. We provide for the representation of both types.
  • Keywords
    belief networks; nonmonotonic reasoning; statistical distributions; uncertainty handling; Dempster-Shafer belief structure; inference scheme; knowledge granular form; monotonic reasoning; nonmonotonic compatibility relation; Educational institutions; Expert systems; Hafnium; Input variables; Probability distribution; Random variables; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547238
  • Filename
    1547238