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Advances in Fuzzy Systems
Volume 2016 (2016), Article ID 3632895, 9 pages
Research Article

Predicting the Mechanical Properties of Viscose/Lycra Knitted Fabrics Using Fuzzy Technique

1Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia
2Department of Textile Engineering, Faculty of Engineering, Daffodil International University, 102 Sukrabad, Mirpur Road, Dhaka 1207, Bangladesh
3Department of Textile Engineering, Dhaka University of Engineering and Technology, Gazipur, Bangladesh
4BGMEA University of Fashion and Technology (BUFT), Dhaka, Bangladesh
5Department of Nuclear Science & Engineering, Military Institute of Science and Technology, Dhaka, Bangladesh

Received 21 November 2015; Accepted 13 April 2016

Academic Editor: Katsuhiro Honda

Copyright © 2016 Ismail Hossain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The main objective of this research is to predict the mechanical properties of viscose/lycra plain knitted fabrics by using fuzzy expert system. In this study, a fuzzy prediction model has been built based on knitting stitch length, yarn count, and yarn tenacity as input variables and fabric mechanical properties specially bursting strength as an output variable. The factors affecting the bursting strength of viscose knitted fabrics are very nonlinear. Hence, it is very challenging for scientists and engineers to create an exact model efficiently by mathematical or statistical model. Alternatively, developing a prediction model via ANN and ANFIS techniques is also difficult and time consuming process due to a large volume of trial data. In this context, fuzzy expert system (FES) is the promising modeling tool in a quality modeling as FES can map effectively in nonlinear domain with minimum experimental data. The model derived in the present study has been validated by experimental data. The mean absolute error and coefficient of determination between the actual bursting strength and that predicted by the fuzzy model were found to be 2.60% and 0.961, respectively. The results showed that the developed fuzzy model can be applied effectively for the prediction of fabric mechanical properties.