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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

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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.

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