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dc.creatorSantos, Helidaes_ES
dc.creatorPereira Dimuro, Graçalizes_ES
dc.creatorAsmus, Tiagoes_ES
dc.creatorSanz Delgado, José Antonioes_ES
dc.creatorFernández Fernández, Francisco Javieres_ES
dc.creatorBustince Sola, Humbertoes_ES
dc.date.accessioned2021-02-19T08:12:07Z
dc.date.available2021-06-05T23:00:11Z
dc.date.issued2020
dc.identifier.isbn978-3-030-50143-3 (Electronic)
dc.identifier.urihttps://hdl.handle.net/2454/39261
dc.descriptionTrabajo presentado a la 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020. Lisboa, junio de 2020es
dc.description.abstractSome aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a richer class of operators whenever one compares with other classes of aggregation functions, such as t-norms and t-conorms, respectively. In the present work we introduce a more general proposal for disjunctive n-ary aggregation functions entitled general grouping functions, in order to be used in problems that admit n dimensional inputs in a more flexible manner, allowing their application in different contexts. We present some new interesting results, like the characterization of that operator and also provide different construction methods.en
dc.description.sponsorshipSupported by CNPq (233950/2014-1, 307781/2016-0, 301618/2019-4), FAPERGS (17/2551 - 0000872-3, 19/2551 - 0001279-9, 19/ 2551 - 0001660-3), PNPD/CAPES (464880 /2019-00) and the Spanish Ministry of Science and Technology (PC093 - 094TFIPDL, TIN2016-81731-REDT, TIN2016-77356-P (AEI/FEDER, UE)).en
dc.format.extent14 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofLesot MJ. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. Communications in Computer and Information Science, vol 1238. Springer, Cham, 2020, pp. 481-495. ISBN 978-3-030-50143-3en
dc.rights© Springer Nature Switzerland AG 2020en
dc.subjectGrouping functionsen
dc.subjectn-dimensional grouping functionsen
dc.subjectGeneral grouping functionsen
dc.subjectGeneral overlap functionsen
dc.titleGeneral grouping functionsen
dc.typeinfo:eu-repo/semantics/conferenceObjecten
dc.typeContribución a congreso / Biltzarrerako ekarpenaes
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.embargo.terms2021-06-05
dc.identifier.doi10.1007/978-3-030-50143-3_38
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-81731en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-Pen
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-50143-3_38
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.type.versionVersión aceptada / Onetsi den bertsioaes


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