Predicting fabric weight per unit area of knitted structure using fuzzy logic systems.

Abstract

The main purpose of this study is to develop a fuzzy model for the prediction of fabric GSM of cotton knitted fabrics as a function of yarn count and knitting stitch length. The most significant key factors yarn count and knitting stitch length affect the GSM of cotton knitted fabrics are very non-linear. Hence, developing a prediction model by using mathematical or statistical approach is very difficult task. Conversely, artificial neural network and neural-fuzzy models are trained using vast amounts of experimental data which are also time consuming process. Fuzzy logic (FL) methodology on the other hand, is a promising modelling tool which performs extraordinarily very robust in a non-linear complex field with least trial data. The prediction model was found to be valid by correlation analysis. The mean relative error, correlation coefficient and goodness of fit from the predicted values were found to be 4.56%, 0.995 and 0.999 respectively. The results show very good performance of the prediction model.