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Proceedings Paper

Inexact Reasoning In Expert Systems
Author(s): Gerri L. Peper; Jack S. Walicki
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Paper Abstract

This paper proposes a new method of inductive learning that incorporates an element of inexact reasoning. The first part of the paper is devoted to the critical analysis of existing methods of inexact reasoning (Certainty Factors, Bayesian Inference, and Dempster-Shafer belief functions). In the second part we propose and describe a new method for inexact reasoning and its application in the domain of knowledge acquisition.

Paper Details

Date Published: 19 October 1987
PDF: 8 pages
Proc. SPIE 0857, IECON'87:Automated Design and Manufacturing, (19 October 1987); doi: 10.1117/12.943266
Show Author Affiliations
Gerri L. Peper, IBM Corporation (United States)
Jack S. Walicki, Colorado State University (United States)

Published in SPIE Proceedings Vol. 0857:
IECON'87:Automated Design and Manufacturing
Victor K.L. Huang, Editor(s)

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