General grouping functions
| dc.contributor.author | Santos, Helida | |
| dc.contributor.author | Pereira Dimuro, Graçaliz | |
| dc.contributor.author | Da Cruz Asmus, Tiago | |
| dc.contributor.author | Sanz Delgado, José Antonio | |
| dc.contributor.author | Fernández Fernández, Francisco Javier | |
| dc.contributor.author | Bustince Sola, Humberto | |
| dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
| dc.contributor.department | Institute of Smart Cities - ISC | en |
| dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
| dc.date.accessioned | 2021-02-19T08:12:07Z | |
| dc.date.available | 2021-06-05T23:00:11Z | |
| dc.date.issued | 2020 | |
| dc.description | Trabajo presentado a la 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020. Lisboa, junio de 2020 | es |
| dc.description.abstract | Some 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.sponsorship | Supported 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.embargo.lift | 2021-06-05 | |
| dc.embargo.terms | 2021-06-05 | |
| dc.format.extent | 14 p. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.doi | 10.1007/978-3-030-50143-3_38 | |
| dc.identifier.isbn | 978-3-030-50143-3 (Electronic) | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/39261 | |
| dc.language.iso | eng | en |
| dc.publisher | Springer | en |
| dc.relation.ispartof | Lesot 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 978-3-030-50143-3 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-81731/ | |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/1PE/TIN2016-77356-P/ | |
| dc.relation.publisherversion | https://doi.org/10.1007/978-3-030-50143-3_38 | |
| dc.rights | © Springer Nature Switzerland AG 2020 | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Grouping functions | en |
| dc.subject | n-dimensional grouping functions | en |
| dc.subject | General grouping functions | en |
| dc.subject | General overlap functions | en |
| dc.title | General grouping functions | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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