Application of the Sugeno integral in fuzzy rule-based classification

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dc.contributor.authorWieczynski, Jonata
dc.contributor.authorLucca, Giancarlo
dc.contributor.authorBorges, Eduardo N.
dc.contributor.authorPereira Dimuro, Graçaliz
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2023-05-18T07:29:50Z
dc.date.available2023-11-12T00:00:12Z
dc.date.issued2022
dc.date.updated2023-05-18T07:21:56Z
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 to enhance the quality of such systems. Precisely, it was applied to the Fuzzy Reasoning Method (FRM) to aggregate the fired fuzzy rules when classify new data. On the other side, the Sugeno integral, another well known aggregation operator, obtained good results when applied to brain-computer interfaces. Those 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. In order to show the efficiency of this new approach, the obtained results are also compared to past studies involving 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. 305805/2021-5, 301618/2019-4), FAPERGS (proc. 19/2551-0001660-3) and Navarra de Servicios y Tecnologías, S.A. (NASERTIC).en
dc.embargo.lift2023-11-12
dc.embargo.terms2023-11-12
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWieczynski, J., Lucca, G., Borges, E., Dimuro, G. (2022) Application of the Sugeno integral in fuzzy rule-based classification. En Xavier-Junior, J. C., Rios R. A. (Eds.), Intelligent Systems: 11th Brazilian Conference, BRACIS 2022. Proceedings, Part I (pp. 209-220). Springer. https://doi.org/10.1007/978-3-031-21686-2_15.en
dc.identifier.doi10.1007/978-3-031-21686-2_15
dc.identifier.isbn978-3-031-21685-5
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45300
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartof11th Brazilian Conference, BRACIS 2022. Proceedings, Part I.: Springer; 2022. p.209-220 978-3-031-21685-5en
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-031-21686-2_15
dc.rights© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectChoquet integralen
dc.subjectClassification problemen
dc.subjectFuzzy reasoning methoden
dc.subjectFuzzy Rule-Based Classification Systemen
dc.subjectSugeno integralen
dc.titleApplication of the Sugeno integral in fuzzy rule-based classificationen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationae2cc9ed-82a5-46ae-a52d-607cc71b3f4c
relation.isAuthorOfPublication8c79084b-8af8-4913-a958-52ca175bd136
relation.isAuthorOfPublication4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54
relation.isAuthorOfPublication.latestForDiscovery4eb4bdb2-e3c9-46a2-983f-dfc0dfe20e54

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