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A T-S fuzzy model based on initial FCM partition to estimate the composition of commercial blended vegetable oils

dc.contributor.authorIgrejas, Getúlio
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorRodrigues, Pedro João
dc.contributor.authorOliveira, Beatriz
dc.date.accessioned2011-06-13T09:19:14Z
dc.date.available2011-06-13T09:19:14Z
dc.date.issued2010
dc.description.abstractSeveral samples of four types of vegetable oils (sunflower, soybean, corn and peanut oils) produced and/or refined in Portugal were analyzed for their fatty acid composition. Data obtained was used to build a fuzzy model to predict the amounts of different vegetable oils (VO) in commercial blends. The strategy used was a combination of a fuzzy clustering method (Fuzzy C-means) and a Takagi-Sugeno fuzzy model. Model was tested with the data from the analysis of simulated blended VO prepared in the laboratory. Results proved the ability of the model in predicting the blend composition. The model was then used to estimate the composition of 21 brands of commercial VO. Most samples have sunflower as the most representative VO in the blend.por
dc.identifier.citationIgrejas, Getúlio; Amaral, J.S.; Rodrigues, Pedro; Oliveira, Beatriz (2010). A T-S fuzzy model based on initial FCM partition to estimate the composition of commercial blended vegetable oils. In FOODSIM 2010. Bragança. ISBN 978-90-77381-56-1. p.19-22por
dc.identifier.isbn978-90-77381-56-1
dc.identifier.urihttp://hdl.handle.net/10198/5112
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherEUROSISpor
dc.subjectFuzzy C-meanspor
dc.subjectTS modelpor
dc.subjectVegetable oil blendspor
dc.titleA T-S fuzzy model based on initial FCM partition to estimate the composition of commercial blended vegetable oilspor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapor
oaire.citation.endPage22por
oaire.citation.startPage19por
oaire.citation.titleFOODSIM 2010por
person.familyNameIgrejas
person.familyNameAmaral
person.familyNameRodrigues
person.givenNameGetúlio
person.givenNameJoana S.
person.givenNamePedro João
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.ciencia-id1316-21BB-9015
person.identifier.orcid0000-0002-6820-8858
person.identifier.orcid0000-0002-3648-7303
person.identifier.orcid0000-0002-0555-2029
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublication.latestForDiscovery6c5911a6-b62b-4876-9def-60096b52383a

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