Fuzzy measures: a solution to deal with community detection problems for networks with additional information

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dc.contributor.authorGutiérrez García-Pardo, Inmaculada
dc.contributor.authorGómez González, Daniel
dc.contributor.authorCastro Cantalejo, Javier
dc.contributor.authorEspínola Vílchez, María Rosario
dc.contributor.editorKahraman, Cengiz
dc.date.accessioned2024-02-07T13:36:37Z
dc.date.available2024-02-07T13:36:37Z
dc.date.issued2020-11-19
dc.description.abstractIn this work we introduce the notion of the weighted graph associated with a fuzzy measure. Having a finite set of elements between which there exists an affinity fuzzy relation, we propose the definition of a group based on that affinity fuzzy relation between the individuals. Then, we propose an algorithm based on the Louvain’s method to deal with community detection problems with additional information independent of the graph. We also provide a particular method to solve community detection problems over extended fuzzy graphs. Finally, we test the performance of our proposal by means of some detailed computational tests calculated in several benchmark models.
dc.description.departmentDepto. de Estadística y Ciencia de los Datos
dc.description.facultyFac. de Estudios Estadísticos
dc.description.refereedTRUE
dc.description.sponsorshipGovernment of Spain, Grant Plan Nacional de I+D+i
dc.description.statuspub
dc.identifier.citationGutiérrez, Inmaculada et al. ‘Fuzzy Measures: A Solution to Deal with Community Detection Problems for Networks with Additional Information’. 1 Jan. 2020 : 6217 – 6230
dc.identifier.doi10.3233/JIFS-189091
dc.identifier.essn1875-8967
dc.identifier.issn1064-1246
dc.identifier.officialurlhttps://doi.org/10.3233/JIFS-189091
dc.identifier.relatedurlhttps://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs189091
dc.identifier.urihttps://hdl.handle.net/20.500.14352/99999
dc.issue.number5
dc.journal.titleJournal of Intelligent & Fuzzy Systems
dc.language.isoeng
dc.page.final6230
dc.page.initial6217
dc.publisherIOS Press
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//MTM2015-70550-P/ES/ANALISIS JUEGO-TEORICO DE LAS REDES SOCIALES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-096509-B-I00/ES/GESTION INTELIGENTE DE INFORMACION BORROSA/
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TIN2015-66471-P/ES/TECNICAS DE OBTENCION, PROCESAMIENTO Y REPRESENTACION DE INFORMACION DIFUSA PARA LA TOMA DE DECISIONES/
dc.rights.accessRightsembargoed access
dc.subject.cdu004.6
dc.subject.cdu51
dc.subject.cdu519.2
dc.subject.keywordFuzzy clustering
dc.subject.keywordNetworks
dc.subject.keywordCommunity detection
dc.subject.keywordFuzzy graph
dc.subject.ucmMatemáticas (Matemáticas)
dc.subject.ucmEstadística
dc.subject.unesco1209.03 Análisis de Datos
dc.subject.unesco12 Matemáticas
dc.subject.unesco1209 Estadística
dc.titleFuzzy measures: a solution to deal with community detection problems for networks with additional information
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number39
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery2f4cd183-2dd2-4b4e-8561-9086ff5c0b90
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