Application of the Sugeno integral in fuzzy rule-based classification

Simple item page
dc.contributor.authorWieczynski, Jonata
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorBorges, Eduardo N.
dc.contributor.authorUrío Larrea, Asier
dc.contributor.authorLópez Molina, Carlos
dc.contributor.authorBustince Sola, Humberto
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
dc.date.accessioned2024-12-10T18:16:02Z
dc.date.available2024-12-10T18:16:02Z
dc.date.issued2024-09-27
dc.date.updated2024-12-10T17:32:39Z
dc.description.abstractFuzzy Rule-Based Classification System (FRBCS) is a well-known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations (e.g.: 𝐶𝑇 -integral, 𝐶𝐹 - Integral and 𝐶𝐶-integral) to enhance the performance of such systems. Such fuzzy integrals were applied to the Fuzzy Reasoning Method (FRM) to aggregate the fired fuzzy rules when classifying new data. However, the Sugeno integral, another well-known aggregation operator, obtained good results in other applications, such as brain–computer interfaces. These facts led to the present study, in which we consider the Sugeno integral in classification problems. That is, the Sugeno integral is applied in the FRM of a widely used FRBCS, and its performance is analyzed over 33 different datasets from the literature, also considering different fuzzy measures. To show the efficiency of this new approach, the results obtained are also compared with previous studies that involved the application of different aggregation functions. Finally, we perform a statistical analysis of the application.en
dc.description.sponsorshipThe authors would like to thank CNPq (proc. 304118/2023-0, 407206/2023-0, 305805/2021-5, 301618/2019-4), FAPERGS (proc. 19/2551-0001660-3, 24/2551-0001396-2), FAPERGS/CNPq (23/2551-0001865-9, 23/2551-0000126-8), Navarra de Servicios y Tecnologías, S.A. (NASERTIC), Grant Santander-UPNA 2021-2022, and PID2022-136627NB-I00 financiado por MCIN/AEI/10.13039/501100011033/FEDER, UE. Open access funding provided by Universidad Pública de Navarra.
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWieczynski, J., Lucca, G., Borges, E., Urío-Larrea, A.,López Molina, C., Humberto, B., Dimuro, G. (2024) Application of the Sugeno integral in fuzzy rule-based classification. Applied Soft Computing, 167, 1-9. https://doi.org/10.1016/j.asoc.2024.112265.
dc.identifier.doi10.1016/j.asoc.2024.112265
dc.identifier.issn1568-4946
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52677
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofApplied Soft Computing 167, Part A, 2024, 112265
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-136627NB-I00/ES/
dc.relation.publisherversionhttps://doi.org/10.1016/j.asoc.2024.112265
dc.rights© 2024 The Authors. This is an open access article under the CC BY license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectSugeno integralen
dc.subjectChoquet integralen
dc.subjectCT -integralen
dc.subjectCF -integralen
dc.subjectCC-integralen
dc.subjectFuzzy measuresen
dc.subjectFuzzy rule-based classification systemen
dc.titleApplication of the Sugeno integral in fuzzy rule-based classificationen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationae2cc9ed-82a5-46ae-a52d-607cc71b3f4c
relation.isAuthorOfPublication8c79084b-8af8-4913-a958-52ca175bd136
relation.isAuthorOfPublicationeccff35a-2248-43bc-bd3f-f2daff964d42
relation.isAuthorOfPublicationb1df82f9-2ce4-488f-afe0-98e7f27ece58
relation.isAuthorOfPublication1bdd7a0e-704f-48e5-8d27-4486444f82c9
relation.isAuthorOfPublication4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54
relation.isAuthorOfPublication.latestForDiscoveryeccff35a-2248-43bc-bd3f-f2daff964d42

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Wieczynski_ApplicationSugeno.pdf
Size:
504.09 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

Artículos de revista DEIM - EIMS Aldizkari artikuluak
Artículos de revista - Aldizkari artikuluak