A qualitative discriminant process for scoring and ranking in group support systems
Information Processing and Management: an International Journal
Representation of Qualitative User Preference by Quantitative Belief Functions
IEEE Transactions on Knowledge and Data Engineering
Learning and decision-making in the framework of fuzzy lattices
New learning paradigms in soft computing
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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.