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A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives

Author

Listed:
  • U. Pascal Onu

    (Dalian University of Technology)

  • Quan Xie

    (Dalian University of Technology)

  • Ling Xu

    (Dalian University of Technology)

Abstract

Recently water supply alternative sources, recognized as sustainable and ecofriendly have become popular. This is consequent on the scarcity and increasing demand for water, especially by developing nations characterized by industrialization and increasing population growth. However, the intricacies and overwhelming nature of factors to be considered in reaching a decision on a best alternative has further prompted the emergence of several decision support tools, some of which arouse discrepancies with setbacks. We employ here, the uniqueness of fuzzy TOPSIS (technique for order preference by similarity to ideal solution), a multi-criteria decision approach (MCDA), to aid in deciding the most preferred alternative water supply among, desalination, water borehole, rain water harvesting, reclaimed water, black water, grey water and water importation. This method is reckoned for its ease in handling both quantitative and qualitative data. Moreover it also overcomes the uncertainties in expert opinions usually encountered in the decision process due to the numerous variables, criteria and attributes that interplay in achieving sustainability. Results from analysis on data aggregation, normalization and performance ratings, coupled with the weighted distance from the positive and negative ideal solutions indicated that borehole ranked topmost followed by rain water harvesting (RWH). These revelations are apt to all stakeholders in the water delivery sector and in deliberations on the paradigm shift to water conservation and management measure.

Suggested Citation

  • U. Pascal Onu & Quan Xie & Ling Xu, 2017. "A Fuzzy TOPSIS model Framework for Ranking Sustainable Water Supply Alternatives," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(9), pages 2579-2593, July.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:9:d:10.1007_s11269-017-1636-3
    DOI: 10.1007/s11269-017-1636-3
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    Citations

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    Cited by:

    1. Yan Tu & Kai Chen & Huayi Wang & Zongmin Li, 2020. "Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    2. Daeryong Park & Huan-Jung Fan & Jun-Jie Zhu & Taesoon Kim & Myoung-Jin Um & Siyeon Kim & Seol Jeon & Kichul Jung, 2021. "Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    3. Elleuch, Mohamed Ali & Anane, Makram & Euchi, Jalel & Frikha, Ahmed, 2019. "Hybrid fuzzy multi-criteria decision making to solve the irrigation water allocation problem in the Tunisian case," Agricultural Systems, Elsevier, vol. 176(C).
    4. Feng Zhou & Weici Su & Fengtai Zhang, 2019. "Influencing Indicators and Quantitative Assessment of Water Resources Security in Karst Region Based on PSER Model—The Case of Guizhou," Sustainability, MDPI, vol. 11(20), pages 1-17, October.

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