Issue No. 02 - March/April (1998 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.683765
<p><b>Abstract</b>—We 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.</p>
Belief functions, vague pairwise comparisons, numeric interval comparisons, qualitative belief comparisons, knowledge acquisition.
A. Mobolurin and N. (. Bryson, "A Qualitative Discriminant Approach for Generating Quantitative Belief Functions," in IEEE Transactions on Knowledge & Data Engineering, vol. 10, no. , pp. 345-348, 1998.