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A Weak Tripled Contraction for Solving a Fuzzy Global Optimization Problem in Fuzzy Metric Spaces

dc.contributor.authorHammad, Hasanen A.
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.date.accessioned2021-04-29T10:53:52Z
dc.date.available2021-04-29T10:53:52Z
dc.date.issued2021-03-29
dc.identifier.citationSymmetry 13(4) : (2021) // Article ID 565es_ES
dc.identifier.issn2073-8994
dc.identifier.urihttp://hdl.handle.net/10810/51241
dc.description.abstractIn the setting of fuzzy metric spaces (FMSs), a global optimization problem (GOP) obtaining the distance between two subsets of an FMS is solved by a tripled fixed-point (FP) technique here. Also, fuzzy weak tripled contractions (WTCs) for that are given. This problem was known before in metric space (MS) as a proximity point problem (PPP). The result is correct for each continuous τ —norms related to the FMS. Furthermore, a non-trivial example to illustrate the main theorem is discussed.es_ES
dc.description.sponsorshipThis work was supported in part by the Basque Government under Grant IT1207-19.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectfuzzy metric spaceses_ES
dc.subjectweak tripled contractionses_ES
dc.subjecta global optimization problemes_ES
dc.subjecttripled best proximity pointses_ES
dc.titleA Weak Tripled Contraction for Solving a Fuzzy Global Optimization Problem in Fuzzy Metric Spaceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-04-23T13:32:44Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-8994/13/4/565/htmes_ES
dc.identifier.doi10.3390/sym13040565
dc.departamentoesElectricidad y electrónica
dc.departamentoeuElektrizitatea eta elektronika


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).