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Trapezoidal fuzzy BWM-TOPSIS approach and application on water resources

Author

Listed:
  • Priyanka Majumder

    (Techno College of Engineering Agartala)

  • Arnab Paul

    (Techno College of Engineering Agartala)

  • Pratik Saha

    (Techno College of Engineering Agartala)

  • Mrinmoy Majumder

    (National Institute of Technology)

  • Dayarnab Baidya

    (National Institute of Technology Silchar)

  • Dhritiman Saha

    (Techno College of Engineering Agartala)

Abstract

The world lacks access to clean water for approximately a quarter million people. It is estimated that only 1% of the Earth's 2.5% water can be used. In developing countries, almost 80% of the three million early deaths can be attributed to drinking contaminated water due to organic and inorganic pollutants. Therefore, it is imperative that the treatment plants for surface water and waste water that supply treated water to the public is monitored regularly in order to ensure the quality of treated water. Water treatment plants performance can be evaluated using a variety of methods. However, these methods are absolute since they give equal weight to all parameters, which only partly reflects reality. This paper presents a hybrid decision making technique combining trapezoidal fuzzy BWM with trapezoidal fuzzy TOPSIS, whose goal is to determine the most beneficial alternative to improve the effectiveness of a water treatment plant (WTP). To evaluate the weights of criteria, the trapezoidal fuzzy BWM is employed, and TOPSIS is used to rank the alternatives. From the results, it is clearly found that water quality is the most responsible alternative. A sensitivity analysis validates the results obtained by the proposed study.

Suggested Citation

  • Priyanka Majumder & Arnab Paul & Pratik Saha & Mrinmoy Majumder & Dayarnab Baidya & Dhritiman Saha, 2023. "Trapezoidal fuzzy BWM-TOPSIS approach and application on water resources," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2648-2669, March.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:3:d:10.1007_s10668-022-02126-8
    DOI: 10.1007/s10668-022-02126-8
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    References listed on IDEAS

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    1. Sudipa Choudhury & Apu Kumar Saha & Mrinmoy Majumder, 2020. "Optimal location selection for installation of surface water treatment plant by Gini coefficient-based analytical hierarchy process," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4073-4099, June.
    2. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    3. Huiru Zhao & Sen Guo, 2015. "External Benefit Evaluation of Renewable Energy Power in China for Sustainability," Sustainability, MDPI, vol. 7(5), pages 1-23, April.
    4. Tam, C.M. & Tong, Thomas K.L. & Chiu, Gerald W.C., 2006. "Comparing non-structural fuzzy decision support system and analytical hierarchy process in decision-making for construction problems," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1317-1324, October.
    5. Rubio-Aliaga, Alvaro & García-Cascales, M. Socorro & Sánchez-Lozano, Juan Miguel & Molina-Garcia, Angel, 2021. "MCDM-based multidimensional approach for selection of optimal groundwater pumping systems: Design and case example," Renewable Energy, Elsevier, vol. 163(C), pages 213-224.
    6. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    7. Maryam Akbari & Sarita Gajbhiye Meshram & R. S Krishna & Biswajeet Pradhan & Sameer Shadeed & Khaled Mohamed Khedher & Mehdi Sepehri & Ali Reza Ildoromi & Fereshteh Alimerzaei & Fariba Darabi, 2021. "Identification of the Groundwater Potential Recharge Zones Using MCDM Models: Full Consistency Method (FUCOM), Best Worst Method (BWM) and Analytic Hierarchy Process (AHP)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4727-4745, November.
    8. Tarate Suryakant Bajirao & Pravendra Kumar & Manish Kumar & Ahmed Elbeltagi & Alban Kuriqi, 2021. "Superiority of Hybrid Soft Computing Models in Daily Suspended Sediment Estimation in Highly Dynamic Rivers," Sustainability, MDPI, vol. 13(2), pages 1-29, January.
    9. Kusum Pandey & Shiv Kumar & Anurag Malik & Alban Kuriqi, 2020. "Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India," Sustainability, MDPI, vol. 12(21), pages 1-24, October.
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