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Journal of Natural Fibers Volume 18, 2021 - Issue 5
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Research Article

A Fuzzy Multi-Criteria Decision-Making Approach for Grading of Raw Jute

Subhasis DasGovernment College of Engineering & Textile Technology, Berhampore, IndiaCorrespondence[email protected]
&
Anindya GhoshGovernment College of Engineering & Textile Technology, Berhampore, India
Pages 685-693 | Published online: 31 Jul 2019

References

  • Atkinson, R. R. 1965. Jute fibre to yarn. 1st ed. India: B. I. Publications Bombay.
  • Bureau of Indian Standard. 2003. Textiles - Grading of white, tossa and daisee uncut indian jute. IS 271. 1–5.
  • Chen, C. T. 2000. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 114:1–9. doi:10.1016/S0165-0114(97)00377-1.
  • Das, B., K. Chakrabarti, S. Tripathi, and A. Chakraborty. 2014. Review of some factors influencing jute fiber quality. Journal of Natural Fibers 11:268–81. doi:10.1080/15440478.2014.880103.
  • Das, S., V. B. Shambhu, and L. K. Nayak. 2013. Development of decision support system for jute grading. International Journal of Emerging Technology and Advanced Engineering 3:754–58.
  • Ghosh, A., and S. Das. 2013. Raw jute grading by multi-criteria decision making method. Journal of Natural Fibers 10:136–46. doi:10.1080/15440478.2012.763203.
  • Ghosh, A., P. Mal, and A. Majumdar. 2019. Advanced optimization and decision making techniques in textile manufacturing. 1st ed. Boca Raton: CRC press. Taylor and Francis.
  • Hsu, H. M., and C. T. Chen. 1994. Fuzzy hierarchical weight analysis model for multi-criteria decision. Journal of the Chinese Institute of Industrial Engineering 11:129–36.
  • Islam, M. S., and M. Alauddin. 2012. World production of jute: A comparative analysis of Bangladesh. International Journal of Management and Business Studies 2:14–22.
  • Kahraman, C. 2008. Fuzzy multi-criteria decision making. Boston, MA: Springer
  • Lazim, A. 2013. Fuzzy multi criteria decision making and its applications: A brief review of category. Procedia - Social and Behavioral Sciences 97:131–36. doi:10.1016/j.sbspro.2013.10.213.

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