DocumentCode
1393569
Title
A qualitative discriminant approach for generating quantitative belief functions
Author
Bryson, Noel ; Mobolurin, Ayodele
Author_Institution
Sch. of Bus., Howard Univ., Washington, DC, USA
Volume
10
Issue
2
fYear
1998
Firstpage
345
Lastpage
348
Abstract
The authors present an approach that will be useful in knowledge acquisition from experts on the degree of belief in, or the probability of, the truthfulness of various propositions. Its advantages include exploring the given problem situation using linguistic quantifiers; avoiding the premature use of numeric measures; and identifying input data that is inconsistent with the theory of belief functions
Keywords
belief maintenance; computational linguistics; knowledge acquisition; experts; inconsistent input data identification; knowledge acquisition; linguistic quantifiers; probability; proposition truthfulness; qualitative discriminant approach; quantitative belief function generation; Aerospace engineering; Computer Society; Decision support systems; Knowledge acquisition;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.683765
Filename
683765
Link To Document