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Author Ben-Bassat, M. ♦ Beniaminy, I. ♦ Joseph, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Subject Keyword Expert systems ♦ Machine learning ♦ Diagnostic expert systems ♦ Costs ♦ Testing ♦ Nearest neighbor searches ♦ Artificial intelligence ♦ Collaborative software ♦ Pattern classification ♦ Character recognition
Abstract There is an ongoing debate as to whether model-based or case-based diagnostic expert systems are superior. Our experience has shown that the two are not mutually exclusive and, to the contrary, complement each other. Current expert system technology is capable of two reasoning mechanisms, in addition to other mechanisms, integrated into one system. Depending on the knowledge available, and time and cost considerations, expert systems allow the user to decide the relative proportion of case-based to model-based reasoning to employ in any given situation. Diagnostic support software should be evaluated by two critical factor groups: (a) cost and time to deployment, and (b) accuracy, completeness and efficiency of the diagnostic process. In this paper we will discuss the role of expert systems in combining model-based and case-based reasoning to effect the most efficient user defined solution to diagnostic performance.
Description Author affiliation: IET Intelligent Electron., Anaheim, CA, USA (Ben-Bassat, M.)
ISBN 0780350936
ISSN 10893539
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-10-18
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 782.20 kB
Page Count 8
Starting Page 793
Ending Page 800


Source: IEEE Xplore Digital Library