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A Qualitative Discriminant Approach for Generating Quantitative Belief Functions
March/April 1998 (vol. 10 no. 2)
pp. 345-348

Abstract—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.

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Index Terms:
Belief functions, vague pairwise comparisons, numeric interval comparisons, qualitative belief comparisons, knowledge acquisition.
Noel (Kweku-Muata) Bryson, Ayodele Mobolurin, "A Qualitative Discriminant Approach for Generating Quantitative Belief Functions," IEEE Transactions on Knowledge and Data Engineering, vol. 10, no. 2, pp. 345-348, March-April 1998, doi:10.1109/69.683765
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