Short CommunicationA note on metrics induced by copulas
Highlights
► The metrics induced by copulas are discussed. ► We provide a continuous t-norm that is not a copula and that generates a metric. ► The 9th open problem in a recent monograph of Alsina et al. is solved.
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2023, Fuzzy Sets and SystemsCitation Excerpt :The idea of constructing a distance function from fuzzy logic connectives such as t-norms, and its dual t-conorms, was originally introduced by Alsina in [1], wherein it was shown that this distance function turns out to be a metric if the t-norm is a copula. The converse, however, need not be true, i.e., t-norms that are not copulas can give rise to a metric, for instance, continuous non-strict Archimedean t-norms (see [2]). Alsina, in his work [4] dealing with the construction of metrics obtained from quasi-copulas, has also shown that various concepts of dependencies between random variables can be expressed in terms of the proposed metrics.
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2016, Fuzzy Sets and SystemsCitation Excerpt :He proved that being a copula is a sufficient condition for the t-norm to induce a distance. Y. Ouyang in [52] gives an example of a continuous strict Archimedean t-norm that is not a copula and that generates a distance. An interesting problem recently solved in [1] (for the t-norms with the same zero region as Łukasiewicz) is the characterization of those t-norms that induce distances.
On distances derived from t-norms
2015, Fuzzy Sets and SystemsCitation Excerpt :The upper bounding of S is not also associative, and so it is not a t-conorm. Recently, Y. Ouyang (see [5]) has given an example of a continuous strict Archimedean t-norm that it is not a copula and that generates a distance, thus proving that for continuous t-norms the answer to the above question is negative. Once answered this question, a new problem arises:
A Study of Monometrics from Fuzzy Logic Connectives
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