Abstract
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.
L.A. Fono thanks French Government and Prof. Bernadette Bouchon Meunier. This paper was initiated when he was visiting scholar at LIP 6 of the University of Pierre Marie-Curie - France under the scholarship “Bourse de Stage du Gouvernement Francais 2007 du SCAC de l’Ambassade de France au Cameroun”.
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Appendix
Appendix
Figures illustrating some proofs.
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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: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_8
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DOI: https://doi.org/10.1007/978-3-319-66824-6_8
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