GERTIS: A dempster-shafer approach to diagnosing hierarchical hypotheses

John Yen

doi:10.1145/63485.63488

GERTIS: A dempster-shafer approach to diagnosing hierarchical hypotheses

John Yen

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

Gertis—a prototype expert system—not only demonstrates the feasibility of applying the Dempster-Shafer-based reasoning model to diagnosing hierarchically related hypotheses, but also suggests ways to generate better explanations by using knowledge about the structure of the hypothesis space and knowledge about the intended effects of the rules.

Original language	English (US)
Pages (from-to)	573-585
Number of pages	13
Journal	Communications of the ACM
Volume	32
Issue number	5
DOIs	https://doi.org/10.1145/63485.63488
State	Published - Jan 5 1989

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1145/63485.63488

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abstract = "Gertis—a prototype expert system—not only demonstrates the feasibility of applying the Dempster-Shafer-based reasoning model to diagnosing hierarchically related hypotheses, but also suggests ways to generate better explanations by using knowledge about the structure of the hypothesis space and knowledge about the intended effects of the rules.",

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AB - Gertis—a prototype expert system—not only demonstrates the feasibility of applying the Dempster-Shafer-based reasoning model to diagnosing hierarchically related hypotheses, but also suggests ways to generate better explanations by using knowledge about the structure of the hypothesis space and knowledge about the intended effects of the rules.

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GERTIS: A dempster-shafer approach to diagnosing hierarchical hypotheses

Abstract

All Science Journal Classification (ASJC) codes

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