Two types of uncertainty in fuzzy sets are recognized: (1) specificity, related to the measurement of imprecision, which is based on the cardinality of the set, and (2) fuzziness, or entropy, which measures the vagueness of the set as a result of having imprecise boundaries. Specificity and fuzziness refer to two different characteristics of fuzzy sets. Specificity (or its counterpart, non-specificity) measures the degree of truth of the sentence: Containing just one element. Fuzziness measures the difference from a crisp set.]]>R.R. Yager, On Ordered Weighted Averaging Aggregation, IEEE Transactions on Systems, Man and Cybernetics, 18, pp. 119-145 (1988)Definition of a fuzzy variable as a list of labels (trapezoidal)[...][...]
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