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
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