Premium
Approaches to management of uncertainty in an expert system
Author(s) -
Hudson D. L.,
Cohen M. E.
Publication year - 1988
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.4550030105
Subject(s) - expert system , computer science , knowledge base , legal expert system , artificial intelligence , model based reasoning , machine learning , risk analysis (engineering) , management science , knowledge representation and reasoning , medicine , engineering
The problem of reasoning with uncertainty in expert systems has become an issue of increasing interest. In this article, the development of EMERGE, an expert system for chest pain analysis, is traced. Modifications to the system to utilize new techniques are analyzed. In particular, the incorporation of techniques from approximate reasoning is discussed as applied in the chest pain rule base to take into account degrees of presence of symptoms and unequal contribution of antecedents. Specifically, theoretical results in approximate reasoning by Yager are applied in the EMERGE expert system in an attempt to improve its performance in borderline cases.