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Cotton Fabric Selection Using a Grey Fuzzy Relational Analysis Approach

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Abstract

A multi-criteria decision-making (MCDM) problem usually deals with selection of the best course of action or alternative in the presence of a set of conflicting criteria. Cotton fabric selection to meet some specific end requirements is also a typical MCDM problem. In this paper, an MCDM technique in the form of grey relational analysis is combined with fuzzy logic to solve two cotton fabric selection problems. The derived rankings of the candidate alternatives have a high degree of congruence with those obtained while applying other popular MCDM tools. It thus proves the application potentiality of this combined approach to solve such decision-making problems when there are ambiguities in the measured data, and incomplete or qualitative information.

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References

  1. A. Das, V.K. Kothari, A. Sadachar, Comfort characteristics of fabrics made of compact yarns. Fibers Polym. 8(1), 116–122 (2007)

    Article  Google Scholar 

  2. A. Ghosh, P. Mal, A. Majumdar, D. Banerjee, An investigation on air and thermal transmission through knitted fabric structures using the Taguchi method. AUTEX Res. J. 17(2), 152–163 (2017)

    Article  Google Scholar 

  3. A. Majumdar, S.P. Singh, A. Ghosh, Modelling, optimization and decision making techniques in designing of functional clothing. Indian J. Fibre Text. Res. 36(4), 398–409 (2011)

    Google Scholar 

  4. M.K. Öztürk, B. Nergis, C. Candan, Application of multicriteria decision making approach to the analysis of comfort properties of wool/acrylic blended fabrics. J. Chem. Chem. Eng 5(12), 1069–1073 (2011)

    Google Scholar 

  5. M.S. Alam, A. Ghosh, Selection of cotton fabrics for optimal comfort properties using multi-criteria decision making. J. Text. Appar. Technol. Manag. 8(3), 1–8 (2013)

    Google Scholar 

  6. A. Mitra, P.K. Majumdar, D. Bannerjee, Predicting air permeability of handloom fabrics: a comparative analysis of regression and artificial neural network models. J. Inst. Eng. Ser. E 94(1), 29–36 (2013)

    Article  Google Scholar 

  7. A. Mitra, Selection of handloom fabrics for summer clothing by AHP method of multi-criteria decision making (MCDM) techniques. Int. J. Manag. IT Eng. 3(8), 265–278 (2013)

    Google Scholar 

  8. A. Mitra, A. Majumdar, P.K. Majumdar, D. Bannerjee, Predicting thermal resistance of cotton fabrics by artificial neural network model. Exp. Thermal Fluid Sci. 50, 172–177 (2013)

    Article  Google Scholar 

  9. A. Mitra, A. Majumdar, A. Ghosh, P.K. Majumdar, D. Bannerjee, Selection of handloom fabrics for summer clothing using multi-criteria decision making techniques. J. Nat. Fibers 12(1), 61–71 (2015)

    Article  Google Scholar 

  10. A. Mitra, P.K. Majumdar, D. Banerjee, Production of engineered fabrics using artificial neural network-genetic algorithm hybrid model. J. Inst. Eng. Ser. E 96(2), 159–165 (2015)

    Article  Google Scholar 

  11. P. Mal, A. Ghosh, A. Majumdar, D. Banerjee, Engineering of knitted cotton fabrics for optimum comfort in a hot climate. Fibres Text. East. Eur 24(2), 102–106 (2016)

    Article  Google Scholar 

  12. A. Majumdar, P. Mal, A. Ghosh, D. Banerjee, Multi-objective optimization of air permeability and thermal conductivity of knitted fabrics with desired ultraviolet protection. J. Text. Inst. 108(1), 110–116 (2017)

    Article  Google Scholar 

  13. J. Deng, Introduction to grey system theory. J. Grey Syst. 1(1), 1–24 (1989)

    MathSciNet  MATH  Google Scholar 

  14. Y. Kuo, T. Yang, G.-W. Huang, The use of grey relational analysis in solving multiple attribute decision-making problems. Comput. Ind. Eng. 55(1), 80–93 (2008)

    Article  Google Scholar 

  15. C.-F.J. Kuo, T.-L. Su, Gray relational analysis for recognizing fabric defects. J. Text. Inst. 73(5), 461–465 (2003)

    Google Scholar 

  16. C.-F.J. Kuo, H.-M. Tu, Gray relational analysis approach for the optimization of process setting in textile calendaring. J. Text. Inst. 79(11), 981–992 (2009)

    Google Scholar 

  17. T.-L. Su, Y.-L. Kuo, H.-W. Chen, F.-C. Kung, Grey relational analysis of an automatic identifying system for clothing texture. Fibres Text. East. Eur 18(2), 60–64 (2010)

    Google Scholar 

  18. H. Hasani, S.A. Tabatabaei, G. Amiri, Grey relational analysis to determine the optimum process parameters for open-end spinning yarns. J. Eng. Fibers Fabr. 7(2), 81–86 (2012)

    Google Scholar 

  19. Ç. Sarpkaya, E. Özgür, E.C. Sabir, The optimization of woven fabric tensile strength with Taguchi method based on grey relational analysis. J. Text. Appar. 25(4), 293–299 (2015)

    Google Scholar 

  20. Ç. Sarpkaya, E.C. Sabir, Optimization of the sizing process with grey relational analysis. Fibres Text. East. Eur 24(1), 49–55 (2016)

    Article  Google Scholar 

  21. T. Hussain, F.A. Arain, Z.A. Malik, Use of Taguchi method and grey relational analysis to optimize multiple yarn characteristics in open-end rotor spinning. AUTEX Res. J. 17(1), 67–72 (2017)

    Article  Google Scholar 

  22. M. Jabbar, K. Shaker, M. Umair, Y. Nawab, Optimizing the performance of woven protective gloves using grey relational analysis. J. Text. Inst. 108(10), 1715–1719 (2017)

    Article  Google Scholar 

  23. M. Maqsood, T. Hussain, N. Ahmad, Y. Nawab, Multi-response optimization of mechanical and comfort properties of bi-stretch woven fabrics using grey relational analysis in Taguchi method. J. Text. Inst. 108(5), 794–802 (2017)

    Article  Google Scholar 

  24. L. Zadeh, Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  MATH  Google Scholar 

  25. E.H. Mamdani, A. Sedrak, An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7(1), 1–13 (1975)

    Article  MATH  Google Scholar 

  26. A. Hamam, N.D. Georganas, A comparison of Mamdani and Sugeno fuzzy inference systems for evaluating the quality of experience of Hapto-Audio-Visual applications, in Proceedings of IEEE International Workshop on Haptic Audio Visual Environments and Games, Canada (2008), pp. 87–92

  27. S. Goyal, S. Grover, Applying fuzzy grey relational analysis for ranking the advanced manufacturing systems. Grey Syst. Theory Appl. 2(2), 284–298 (2012)

    Article  Google Scholar 

  28. S. Chakraborty, P.P. Das, V. Kumar, A grey fuzzy logic approach for cotton fibre selection. J. Inst. Eng. Ser. E 98(1), 1–9 (2017)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Production Engineering, Jadavpur University, Kolkata, West Bengal, India

    Shankar Chakraborty

  2. Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah, India

    Prasenjit Chatterjee

  3. Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Majitar, Sikkim, India

    Partha Protim Das

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  1. Shankar Chakraborty
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  2. Prasenjit Chatterjee
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  3. Partha Protim Das
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Correspondence to Shankar Chakraborty.

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Chakraborty, S., Chatterjee, P. & Das, P.P. Cotton Fabric Selection Using a Grey Fuzzy Relational Analysis Approach. J. Inst. Eng. India Ser. E 100, 21–36 (2019). https://doi.org/10.1007/s40034-018-0130-7

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  • DOI: https://doi.org/10.1007/s40034-018-0130-7

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