Provider: | URV |
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Version: | 1.0 |
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.
(For outputs, see below)
Definition of a fuzzy variable as a list of labels (trapezoidal)
Specificity value for each label of the fuzzy variable.
Fuzziness value for each label of the fuzzy variable.
A status message.
For further technical details on the web service underlying this program, have a look at its documentation here.