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
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;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
