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Proceedings Paper

Plausible Reasoning In Expert Systems For Troubleshooting
Author(s): Satoshi Hori; Phillip C.-Y. Sheu
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Paper Abstract

The management of uncertainty is an important issue in the design of expert systems for troubleshooting complicated systems because much of the information in the knowledge bases is uncertain and incomplete. Based on Dempster-Shafer theory, this paper describes a coherent algorithm which calculates BPA's from the a priori probabilities and the statistics of a target system. It also discusses the ways to propagate the BPA's in the hierarchical search space. It is shown that the computational complexity of the propagating belief functions can be reduced with the restriction of dichotomy.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946976
Show Author Affiliations
Satoshi Hori, Purdue University (United States)
Phillip C.-Y. Sheu, Purdue University (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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