Fuzzy Decision Tree applied to defects classification of glass manufacturing using data from a glass furnace model

Fuzzy Decision Tree (FID 3.4) and other algorithms were used for the classification of the defects that occur in the production process of glass for packing. In this study we used the Project “Newglass” installed in Portugal. This project used a model of Manufactures to study the process of manufacturing glass packaging. The database Project "Newglass” consists of the operating variables of the furnace and the percentage of defects found in end products of the factory model. The classification obtained through the Fuzzy Decision Tree was compared with the results obtained in the manufacture of glass for packing. The classifications obtained in the manufacture and in the FID 3.4 software were also compared with the classification obtained with CART (Classification and Regression Tree) and Artificial Neural Network (ANN) algorithms.