Additively generated (a,b)-implication functions*

dc.contributor.authorSantos, Helida
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.authorBedregal, Benjamin
dc.contributor.authorPaiva, Rui
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorMoura, Bruno
dc.contributor.authorCruz, Anderson
dc.contributor.authorBustince Sola, Humberto
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2024-10-07T18:38:44Z
dc.date.available2024-10-07T18:38:44Z
dc.date.issued2023
dc.date.updated2024-10-07T18:03:12Z
dc.description.abstractSome problems involving classification through neural networks are known to use inputs out of the scope of the unit interval. Therefore, defining operations on arbitrary closed real intervals may be an interesting strategy to tackle this issue and enhance those application environments. In this paper we follow the ideas already discussed in the literature regarding (a,b)-fusion functions, and (a,b)-negations, to provide a new way to construct implication functions. The main idea is to construct an operator using additively generated functions that preserve the properties required by implication functions.en
dc.description.sponsorshipThe authors gratefully acknowledge the partial support of Brazilian funding agencies CNPq (301618/2019-4, 200282/2022-0, 409696/2022-6), CNPq/FAPERGS (23/2551-0000126-8), Agencia Estatal de Investigación from the Government of Spain (PID2019-108392GB-I00 (AEI/10.13039/ 501100011033)), and Fundación La Caixa.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSantos, H., Dimuro, G. P., Bedregal, B., Paiva, R., Asmus, T., Lucca, G., Moura, B., Cruz, A., Bustince, H. (2023) Additively Generated (a,b)-implication functions*. In IEEE International Conference on Fuzzy Systems, 2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (pp. 1-5). IEEE. https://doi.org/10.1109/FUZZ52849.2023.10309754.
dc.identifier.doi10.1109/FUZZ52849.2023.10309754
dc.identifier.isbn979-8-3503-3228-5
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52033
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Piscataway: IEEE; 2023. p. 1-5 979-8-3503-3228-5
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-108392GB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1109/FUZZ52849.2023.10309754
dc.rights© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subject(a, b)-negationsen
dc.subjectAdditive generatorsen
dc.subjectAggregation functionsen
dc.subjectImplication operatorsen
dc.titleAdditively generated (a,b)-implication functions*en
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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