lynx   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i3d10.1007_s10668-022-02126-8.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02126-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02126-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    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. 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.
    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. 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.
    7. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jurgita Kuizinaitė & Mangirdas Morkūnas & Artiom Volkov, 2023. "Assessment of the Most Appropriate Measures for Mitigation of Risks in the Agri-Food Supply Chain," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    2. Tilottama Chakraborty & Mrinmoy Majumder, 2019. "Application of statistical charts, multi-criteria decision making and polynomial neural networks in monitoring energy utilization of wave energy converters," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 21(1), pages 199-219, February.
    3. James J. H. Liou & Perry C. Y. Liu & Huai-Wei Lo, 2020. "A Failure Mode Assessment Model Based on Neutrosophic Logic for Switched-Mode Power Supply Risk Analysis," Mathematics, MDPI, vol. 8(12), pages 1-19, December.
    4. Zarei, Esmaeil & Khan, Faisal & Abbassi, Rouzbeh, 2021. "Importance of human reliability in process operation: A critical analysis," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    5. Sarfaraz Hashemkhani Zolfani & Ramin Bazrafshan & Fatih Ecer & Çağlar Karamaşa, 2022. "The Suitability-Feasibility-Acceptability Strategy Integrated with Bayesian BWM-MARCOS Methods to Determine the Optimal Lithium Battery Plant Located in South America," Mathematics, MDPI, vol. 10(14), pages 1-18, July.
    6. Paul, Ananna & Shukla, Nagesh & Trianni, Andrea, 2023. "Modelling supply chain sustainability challenges in the food processing sector amid the COVID-19 outbreak," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    7. Liang, Fuqi & Brunelli, Matteo & Rezaei, Jafar, 2020. "Consistency issues in the best worst method: Measurements and thresholds," Omega, Elsevier, vol. 96(C).
    8. Martín-García, Jaime & Gómez-Limón, José A. & Arriaza, Manuel, 2024. "Conversion to organic farming: Does it change the economic and environmental performance of fruit farms?," Ecological Economics, Elsevier, vol. 220(C).
    9. Zhongdong Yu & Wei Liu & Liming Chen & Serkan Eti & Hasan Dinçer & Serhat Yüksel, 2019. "The Effects of Electricity Production on Industrial Development and Sustainable Economic Growth: A VAR Analysis for BRICS Countries," Sustainability, MDPI, vol. 11(21), pages 1-13, October.
    10. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    11. Željko Stević & Irena Đalić & Dragan Pamučar & Zdravko Nunić & Slavko Vesković & Marko Vasiljević & Ilija Tanackov, 2019. "A new hybrid model for quality assessment of scientific conferences based on Rough BWM and SERVQUAL," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 1-30, April.
    12. Degirmenci, Tunahan & Yavuz, Hakan, 2024. "Environmental taxes, R&D expenditures and renewable energy consumption in EU countries: Are fiscal instruments effective in the expansion of clean energy?," Energy, Elsevier, vol. 299(C).
    13. Wu, Xingli & Liao, Huchang, 2021. "Modeling personalized cognition of customers in online shopping," Omega, Elsevier, vol. 104(C).
    14. Ravindra Singh Saluja & Varinder Singh, 2023. "Attribute-based characterization, coding, and selection of joining processes using a novel MADM approach," OPSEARCH, Springer;Operational Research Society of India, vol. 60(2), pages 616-655, June.
    15. Zheng Yuan & Baohua Wen & Cheng He & Jin Zhou & Zhonghua Zhou & Feng Xu, 2022. "Application of Multi-Criteria Decision-Making Analysis to Rural Spatial Sustainability Evaluation: A Systematic Review," IJERPH, MDPI, vol. 19(11), pages 1-31, May.
    16. Kavitha, S. & Satheeshkumar, J. & Amudha, T., 2024. "Multi-label feature selection using q-rung orthopair hesitant fuzzy MCDM approach extended to CODAS," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 222(C), pages 148-173.
    17. Junli Zhang & Guoteng Wang & Zheng Xu & Zheren Zhang, 2022. "A Comprehensive Evaluation Method and Strengthening Measures for AC/DC Hybrid Power Grids," Energies, MDPI, vol. 15(12), pages 1-20, June.
    18. Hamzeh Soltanali & Mehdi Khojastehpour & Siamak Kheybari, 2023. "Evaluating the critical success factors for maintenance management in agro-industries using multi-criteria decision-making techniques," Operations Management Research, Springer, vol. 16(2), pages 949-968, June.
    19. Yossi Hadad & Baruch Keren & Dima Alberg, 2023. "An Expert System for Ranking and Matching Electric Vehicles to Customer Specifications and Requirements," Energies, MDPI, vol. 16(11), pages 1-18, May.
    20. Jen-Jen Yang & Yen-Ching Chuang & Huai-Wei Lo & Ting-I Lee, 2020. "A Two-Stage MCDM Model for Exploring the Influential Relationships of Sustainable Sports Tourism Criteria in Taichung City," IJERPH, MDPI, vol. 17(7), pages 1-16, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:25:y:2023:i:3:d:10.1007_s10668-022-02126-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.
    Лучший частный хостинг