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<p>Reasoning based on belief functions and cause-effect hierarchies are combined to create a methodology for enhanced evidential reasoning. A description of the methodology is given as well as examples of the utilization of a complete system. The method provides reasoning about belief among alternatives, is extensible, and can be easily scaled up to large problems. It is asserted that belief manipulation coupled with information about fault history, events, and symptoms is sufficient to secure good diagnostic results.</p>
belief organisation; understanding beliefs; advice-giving diagnostic systems; belief functions; cause-effect hierarchies; enhanced evidential reasoning; belief manipulation; fault history; events; symptoms; expert systems; inference mechanisms

H. Liu, G. Collins, C. Orogo, J. Bourne, N. Uckun and A. Brodersen, "Organizing and Understanding Beliefs in Advice-Giving Diagnostic Systems," in IEEE Transactions on Knowledge & Data Engineering, vol. 3, no. , pp. 269-280, 1991.
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