On S-generalized multidistances and their aggregation

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dc.contributor.author Calvo Sánchez, T.
dc.contributor.author Fuster-Parra, P.
dc.date.accessioned 2023-10-20T07:35:32Z
dc.identifier.uri http://hdl.handle.net/11201/162232
dc.description.abstract [eng] We introduce a new class of multidistances, they are called S-generalized multidistances, defined by means of a t-conorm S. The main properties of them are analyzed and some examples are given. We have also established some relations between a multidistance and an S-generalized multidistance through the additive generator of the t-conorm. In this context, we study how to combine a collection of ({Sk}^m_k=1)-generalized multidistances in order to obtain a new S-generalized multidistance. In addition, we prove that properties of the S-generalized multidistances are preserved through the aggregation process. Finally, we give some characterizations of the aggregation functions of a family of ({Sk}^m_k=1)-generalized multidistances based on another aggregation function and the additive generators of the involved t-conorms.
dc.format application/pdf
dc.relation.isformatof Versió postprint del document publicat a: https://doi.org/10.1016/j.fss.2023.108635
dc.relation.ispartof Fuzzy Sets and Systems, 2023, vol. 468, num. 108635, p. 1-16
dc.subject.classification 004 - Informàtica
dc.subject.classification 51 - Matemàtiques
dc.subject.other 004 - Computer Science and Technology. Computing. Data processing
dc.subject.other 51 - Mathematics
dc.title On S-generalized multidistances and their aggregation
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/acceptedVersion
dc.date.updated 2023-10-20T07:35:32Z
dc.date.embargoEndDate info:eu-repo/date/embargoEnd/2100-01-01
dc.embargo 2100-01-01
dc.subject.keywords aggregation function
dc.subject.keywords distance
dc.subject.keywords metric space
dc.subject.keywords multidistance
dc.subject.keywords S-generalized multidistance
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
dc.identifier.doi https://doi.org/10.1016/j.fss.2023.108635


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