• DocumentCode
    3648966
  • Title

    Generalizing evidence theory to lattices to manage uncertainty

  • Author

    S. Guan

  • Author_Institution
    Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
  • fYear
    1993
  • Firstpage
    180
  • Lastpage
    183
  • Abstract
    The Dempster-Shafer theory of evidence has been found to be promising for a variety of inexact reasoning applications. Many attempts have been made to generalize the theory to problem spaces which are not just the power sets of finite sets, which the original Dempster-Shafer theory addresses, but general Boolean algebras. However, some most important structures in applications to expert systems such as Gordon-Shortliffe´s tree hierarchy (J. Gordon & E.H. Shortliffe 1985), are lattices rather than Boolean algebras. It is interesting to generalize evidence theory to general lattices. The authors generalize the theory by reworking some of the conventional theorems in evidence theory and establish the relationships between weaker forms of the familiar evidential functions.
  • Keywords
    "Lattices","Uncertainty","Bayesian methods","Boolean algebra","Expert systems","Application software","Set theory"
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1993. TAI ´93. Proceedings., Fifth International Conference on
  • ISSN
    1063-6730
  • Print_ISBN
    0-8186-4200-9
  • Type

    conf

  • DOI
    10.1109/TAI.1993.633954
  • Filename
    633954