Symmetric differences of two fuzzy sets by means of R-implications operators of a norm have been studied and their cardinalities provided classes of dissimilarity measures on fuzzy sets. In this paper, we characterize t-norms which generate metrics from these measures. The obtained metrics are fuzzy versions of the well-known distance of cardinality of the symmetric difference of crisp sets. For an application point of view, we consider the seven usual parameterized families of t-norms and we use their R-implications to examine conditions on parameters under which these t-norms generate metrics on fuzzy sets from those measures.
CITATION STYLE
Fotso, S., Dzati Kamga, R. T., & Fono, L. A. (2018). Metrics of symmetric difference on fuzzy sets based on R-implicators of the usual families of t-norms. In Advances in Intelligent Systems and Computing (Vol. 642, pp. 79–91). Springer Verlag. https://doi.org/10.1007/978-3-319-66824-6_8
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