DocumentCode
2692611
Title
Quantitative evaluation of expert systems
Author
Chen, Zhisong ; Grogono, Peter ; Suen, Ching Y.
Author_Institution
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
Volume
3
fYear
1994
fDate
2-5 Oct 1994
Firstpage
2195
Abstract
The rapidly increasing application of expert systems has lead to the need to assure their quality, especially in the critical areas where a fault may be serious. Metrics can provide a quantitative basis for such assurance activities. In this paper, we investigate several formal metrics that are designed for measuring the three important characteristics of expert systems: the size, search space, and complexity. The applications of these metrics to assess or predict the quality of expert systems are also addressed. In addition, a comprehensive evaluation and comparison of the metrics is conducted with the aim to assess their validity when applying them to quantify expert systems
Keywords
expert systems; software performance evaluation; statistical analysis; complexity; expert systems; formal metrics; performance evaluation; quantitative evaluation; search space; statistical analysis; Area measurement; Expert systems; Fires; Humans; Lab-on-a-chip; Machine intelligence; Pattern recognition; Size measurement; Software quality; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location
San Antonio, TX
Print_ISBN
0-7803-2129-4
Type
conf
DOI
10.1109/ICSMC.1994.400190
Filename
400190
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