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- W2034018190 abstract "Many cases of approximate reasoning of the form “XB are A, YA are C, so ZB and C”, where X, Y and Z are fuzzy quantifiers such as ‘most’, ‘probably a few’, etc., seem to involve a probabilistic component in the reasoning. To formalize such arguments this paper proposes a model in which fuzzy quantification is interpreted probabilistically, and the process of inference is carried out by a numerical computation, yielding a probability distribution which is approximated linguistically to give the conclusion. The process involves the use of the classical hypergeometric distribution." @default.
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- W2034018190 title "A probabilistic interpretation of a case of inference involving fuzzy quantification" @default.
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