DocumentCode
1454215
Title
Organizing and understanding beliefs in advice-giving diagnostic systems
Author
Bourne, John R. ; Liu, Hsi-Ho ; Orogo, Constantine D. ; Collins, Glen C. ; Uckun, N. Serdar ; Brodersen, Arthur J.
Author_Institution
Sch. of Eng., Vanderbilt Univ., Nashville, TN, USA
Volume
3
Issue
3
fYear
1991
fDate
9/1/1991 12:00:00 AM
Firstpage
269
Lastpage
280
Abstract
Reasoning based on belief functions and cause-effect hierarchies are combined to create a methodology for enhanced evidential reasoning. A description of the methodology is given as well as examples of the utilization of a complete system. The method provides reasoning about belief among alternatives, is extensible, and can be easily scaled up to large problems. It is asserted that belief manipulation coupled with information about fault history, events, and symptoms is sufficient to secure good diagnostic results
Keywords
expert systems; inference mechanisms; advice-giving diagnostic systems; belief functions; belief manipulation; belief organisation; cause-effect hierarchies; enhanced evidential reasoning; events; fault history; symptoms; understanding beliefs; Assembly; Electronic components; Encoding; Graphics; Intelligent systems; Medical diagnostic imaging; Organizing; Predictive models; User interfaces;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.91058
Filename
91058
Link To Document