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Clustering of TS-fuzzy system

dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorSalgado, Paulo
dc.date.accessioned2010-11-09T15:47:00Z
dc.date.available2010-11-09T15:47:00Z
dc.date.issued2007
dc.description.abstractThis paper presents a fuzzy c-means clustering method for partitioning symbolic interval data, namely the T-S fuzzy rules. The proposed method furnish a fuzzy partition and prototype for each cluster by optimizing an adequacy criterion based on suitable squared Euclidean distances between vectors of intervals. This methodology leads to a fuzzy partition of the TS-fuzzy rules, one for each cluster, which corresponds to a new set of fuzzy sub-systems. When applied to the clustering of TS-fuzzy system the result is a set of additive decomposed TS-fuzzy sub-systems. In this work a generalized Probabilistic Fuzzy C-Means algorithm is proposed and applied to TS-Fuzzy System clustering.por
dc.identifier.citationIgrejas, Getúlio; Salgado, Paulo (2007). Clustering of TS-fuzzy system. In RECPAD - 13º Conferência Portuguesa de Reconhecimento de Padrões. Lisboapor
dc.identifier.urihttp://hdl.handle.net/10198/2754
dc.language.isoengpor
dc.subjectFuzzy clusteringpor
dc.subjectT-S systemspor
dc.titleClustering of TS-fuzzy systempor
dc.typeconference paper
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Orçamento de Funcionamento%2FPOSC/POSI%2FSRI%2F41975%2F2001/PT
oaire.citation.conferencePlaceLisboapor
oaire.citation.titleRECPAD-2007 -RECPAD - 13º Conferência Portuguesa de Reconhecimento de Padrõespor
oaire.fundingStreamOrçamento de Funcionamento/POSC
person.familyNameIgrejas
person.givenNameGetúlio
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscoveryab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isProjectOfPublication154760fe-aeaf-4771-88e0-55ec65fc7d00
relation.isProjectOfPublication.latestForDiscovery154760fe-aeaf-4771-88e0-55ec65fc7d00

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