Please use this identifier to cite or link to this item: http://hdl.handle.net/10198/5112
Title: A T-S fuzzy model based on initial FCM partition to estimate the composition of commercial blended vegetable oils
Authors: Igrejas, Getúlio
Amaral, J.S.
Rodrigues, Pedro
Oliveira, M.B.P.P.
Keywords: Fuzzy C-means
TS model
Vegetable oil blends
Issue Date: 2010
Publisher: EUROSIS
Citation: Igrejas, 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.19-22
Abstract: Several 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.
Peer review: yes
URI: http://hdl.handle.net/10198/5112
ISBN: 978-90-77381-56-1
Appears in Collections:DTQB - Publicações em Proceedings Indexadas ao ISI/Scopus

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