Implementing Evidential Reasoning in Expert Systems

John Yen

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arXiv · 1304.2731

Implementing Evidential Reasoning in Expert Systems

John Yen

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Abstract

The Dempster-Shafer theory has been extended recently for its application to expert systems. However, implementing the extended D-S reasoning model in rule-based systems greatly complicates the task of generating informative explanations. By implementing GERTIS, a prototype system for diagnosing rheumatoid arthritis, we show that two kinds of knowledge are essential for explanation generation: (l) taxonomic class relationships between hypotheses and (2) pointers to the rules that significantly contribute to belief in the hypothesis. As a result, the knowledge represented in GERTIS is richer and more complex than that of conventional rule-based systems. GERTIS not only demonstrates the feasibility of rule-based evidential-reasoning systems, but also suggests ways to generate better explanations, and to explicitly represent various useful relationships among hypotheses and rules.

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BibTeX RIS

John Yen. 2013-03-27. Implementing Evidential Reasoning in Expert Systems. https://arxiv.org/abs/1304.2731

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