A T-S FUZZY MODEL BASED ON INITIAL FCM PARTITION TO ESTIMATE THE COMPOSITION OF COMMERCIAL BLENDED VEGETABLE OILS

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

Getulio Igrejas (Author) Other; Joana S Amaral (Author) Other; Pedro Joao Rodrigues (Author) Other; Beatriz B P P Oliveira (Author) FFUP

Conference proceedings International

Title: 6TH INTERNATIONAL CONFERENCE ON SIMULATION AND MODELLING IN THE FOOD AND BIO-INDUSTRY (FOODSIM 2010)

Pages: 19-22

6th International Conference on Simulation and Modelling in the Food and Bio-Industry

Braganca, PORTUGAL, JUN 24-26, 2010

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Scientific classification

FOS: Agrarian Sciences > Other Agrarian Sciences

Other information

Authenticus ID: P-003-DG9

Abstract (EN): 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. The 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4