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Hierarchization process by possibilistic fuzzy clustering of fuzzy rules

dc.contributor.authorSalgado, Paulo
dc.contributor.authorCunha, Manuela
dc.contributor.authorPavão, João
dc.contributor.authorIgrejas, Getúlio
dc.date.accessioned2011-05-31T11:29:28Z
dc.date.available2011-05-31T11:29:28Z
dc.date.issued2010
dc.description.abstractThis paper presents a possibilistic fuzzy clustering algorithm that is applied to a multidimensional fuzzy set or fuzzy rules. This method can be used to decompose the fuzzy system into an hierarchical structure. The methodology presented leads to a fuzzy partition of the fuzzy rules, one for each cluster, which corresponds to a new set of fuzzy sub-systems. This technique is tested to organize the fuzzy model into a new and more comprehensive structure.por
dc.identifier.citationSalgado, Paulo; Cunha, Manuela; Pavão, João; Igrejas, Getúlio (2010). Hierarchization process by possibilistic fuzzy clustering of fuzzy rules. In RECPAD 2010. Vila Real.
dc.identifier.urihttp://hdl.handle.net/10198/4766
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectFuzzy clustering
dc.subjectHierarchization
dc.titleHierarchization process by possibilistic fuzzy clustering of fuzzy rulespor
dc.typeconference poster
dspace.entity.typePublication
oaire.citation.conferencePlaceVila Realpor
oaire.citation.titleRECPAD 2010por
person.familyNameIgrejas
person.givenNameGetúlio
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a

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