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29 March 1988 Plausible Reasoning In Expert Systems For Troubleshooting
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Satoshi Hori and Phillip C.-Y. Sheu "Plausible Reasoning In Expert Systems For Troubleshooting", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988);


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