Browse by author
Lookup NU author(s): Professor Jim Hall
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
The use of interval probability theory (IPT) for uncertain inference is demonstrated. The general inference rule adopted is the theorem of total probability. This enables information on the relevance of the elements of the power set of evidence to be combined with the measures of the support for and dependence between each item of evidence. The approach recognises the importance of the structure of inference problems and yet is an open world theory in which the domain need not be completely specified in order to obtain meaningful inferences. IPT is used to manipulate conflicting evidence and to merge evidence on the dependability of a process with the data handled by that process. Uncertain inference using IPT is compared with Bayesian inference.
Author(s): Hall JW, Blockley DI, Davis JP
Publication type: Article
Publication status: Published
Journal: International Journal of Approximate Reasoning
Year: 1998
Volume: 19
Issue: 3-4
Pages: 247-264
Print publication date: 01/10/1998
ISSN (print): 0888-613X
ISSN (electronic): 1873-4731
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/S0888-613X(98)10010-5
DOI: 10.1016/S0888-613X(98)10010-5
Altmetrics provided by Altmetric
