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Selection of waste water treatment plans alternative: a neutrosophy based MCDM approach

Author

Listed:
  • Tuhin Bera

    (Panskura Banamali College)

  • Nirmal Kumar Mahapatra

    (Panskura Banamali College)

Abstract

In the present context of environmental scenario, proper management of waste water from different sources is an emerging topic as the crisis of ground water is rudely seen from the last decade. This study addresses a multi-criteria decision making frame work on the selection of appropriate waste water treatment plans alternative in uncertain atmosphere. The approach merges Technique for Order Preference by Similarity to Ideal Solution method. To cultivate the indeterminacy and inconsistency on decision making with uncertainty more precisely, all the experimental data are designed in term of neutrosophic sets. Using a distance function proposed here and by practice of prospect theory, the degree of effectiveness of each treatment plan is evaluated. A user friendly algorithm is drawn to sketch that approach, and then it is demonstrated in practical field. The outcome is analysed and compared with the existing frame to validate the superiority of this work.

Suggested Citation

  • Tuhin Bera & Nirmal Kumar Mahapatra, 2024. "Selection of waste water treatment plans alternative: a neutrosophy based MCDM approach," OPSEARCH, Springer;Operational Research Society of India, vol. 61(2), pages 524-547, June.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:2:d:10.1007_s12597-023-00708-2
    DOI: 10.1007/s12597-023-00708-2
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Mukesh Kumar Mehlawat & Nishtha Grover, 2018. "Intuitionistic fuzzy multi-criteria group decision making with an application to critical path selection," Annals of Operations Research, Springer, vol. 269(1), pages 505-520, October.
    3. Deng-Feng Li & Jiang-Xia Nan, 2011. "Extension of the TOPSIS for Multi-Attribute Group Decision Making under Atanassov IFS Environments," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 1(4), pages 47-61, October.
    4. Choudhury, Payel & Uday, Uma Shankar Prasad & Mahata, Nibedita & Nath Tiwari, Onkar & Narayan Ray, Rup & Kanti Bandyopadhyay, Tarun & Bhunia, Biswanath, 2017. "Performance improvement of microbial fuel cells for waste water treatment along with value addition: A review on past achievements and recent perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 372-389.
    5. Payel Ghosh & T.K. Roy & Chanchal Majumder, 2016. "Optimization of Industrial Wastewater Treatment Using Intuitionistic Fuzzy Goal Geometric Programming Problem," Fuzzy Information and Engineering, Taylor & Francis Journals, vol. 8(3), pages 329-343, September.
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