| Version: | 1.0 |
|---|---|
| Provider: | URV |
| Name: | fuzzyLabelsDescriptors |
| SOAP service’s name: | |
fuzzyLabelsDescriptors-URV (see SOAP requests for details) |
|
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.
Contact: Aida Valls <aida.valls@urv.cat>
Reference: R.R. Yager, On Ordered Weighted Averaging Aggregation, IEEE Transactions on Systems, Man and Cybernetics, 18, pp. 119-145 (1988)
(For outputs, see below)
Definition of a fuzzy variable as a list of labels (trapezoidal)
The input value should be a valid XMCDA document whose main tag is <categoriesValues>.
It must have the following form:
<categoriesValue>
<categoryValue>
<values>
<value id="xxx" name="xxxxxxxx">
<fuzzyNumber>
<trapezoidal>
<point1>
<abscissa>[...]</abscissa>
<ordinate>[...]</ordinate>
</point1>
[...]
<point4>
[...]
</point4>
</trapezoidal>
</fuzzyNumber>
</value>
[...]
</values>
</categoryValue>
</categoriesValue>
Specificity value for each label of the fuzzy variable.
The returned value is a XMCDA document whose main tag is <alternativesValues>.
Fuzziness value for each label of the fuzzy variable.
The returned value is a XMCDA document whose main tag is <alternativesValues>.
A status message.
The returned value is a XMCDA document whose main tag is <methodMessages>.