Evaluation of the Residual Bagging Height using the Regression Technique and Fuzzy Theory
Research and development
Authors:
- Jaouachi Boubaker
Textile Engineering Laboratory, University of Monastir, Monastir, Tunisia - Jaouachi Boubaker
National Engineering School of Monastir, University of Monastir, Monastir, Tunisia
Full text | Abstract: This paper deals with the evaluation of the residual bagging height using the fuzzy theory method. An experimental design was used to objectively evaluate the effect of input parameters on the residual bagging height of knitted fabrics using two different yarn structures without and within elastane filament. Our findings show that among the overall input parameters tested, two are influential. In our experimental design the fuzzy theory method was applied using five different membership functions: triangular-shaped, trapezoidal function, Gaussian, generalized-bell and Đ-shaped . To prove our results, the experimental regression technique and fuzzy theory were compared. In addition, among the other membership functions tested, the triangular membership function gives a more effective evaluation and widely fits to residual bagging height behaviour. |
Tags:
bagging, knitted fabric, residual height, fuzzy membership function, regression.
Citation:
Jaouachi B. Evaluation of the Residual Bagging Height using the Regression Technique and Fuzzy Theory. FIBRES & TEXTILES in Eastern Europe 2013; 21, 4(100): 92-98.
Published in issue no 4 (100) / 2013, pages 92–98.