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A framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functions

dc.contributor.authorSánchez Ramos, Luciano 
dc.contributor.authorCouso Blanco, Inés 
dc.date.accessioned2018-02-28T10:40:54Z
dc.date.available2018-02-28T10:40:54Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Approximate Reasoning, 92, p. 321-339 (2018); doi:10.1016/j.ijar.2017.10.008
dc.identifier.issn0888-613X
dc.identifier.urihttp://hdl.handle.net/10651/46074
dc.description.sponsorshipThis work has been partially supported by “Ministerio de Economía y Competitividad” from Spain under grants TIN2014-56967-R and TIN2017-84804-R and by the Regional Ministry of the Principality of Asturias under grant FC-15-GRUPIN14-073
dc.format.extentp. 321-339
dc.language.isoeng
dc.relation.ispartofInternational Journal of Approximate Reasoning, 92
dc.rights© 2017 Elsevier Inc.
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85032469147&doi=10.1016%2fj.ijar.2017.10.008&partnerID=40&md5=5b77f398fba1f4b3779c382c8994d273
dc.titleA framework for learning fuzzy rule-based models with epistemic set-valued data and generalized loss functionseng
dc.typejournal article
dc.identifier.doi10.1016/j.ijar.2017.10.008
dc.relation.projectIDMINECO/TIN2014-56967-R
dc.relation.projectIDMINECO/TIN2017-84804-R
dc.relation.projectIDFC-15-GRUPIN14-073
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ijar.2017.10.008
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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