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The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

Author

Listed:
  • Amir Noori

    (Razi University)

  • Hossein Bonakdari

    (Razi University)

  • Khosro Morovati

    (Razi University)

  • Bahram Gharabaghi

    (University of Guelph)

Abstract

The complex and controversial task of selecting a dam site in a river basin can be successfully achieved using science-informed multi-criteria decision-making (MCDM) techniques. In this paper, we describe the application of the group fuzzy TOPSIS model for optimal ranking of the case study of Kandoleh dam sites in Kermanshah province, Iran, involving 18 input criteria. In this study, decision-making committee was made up of 20 involved decision makers. The comments of four non-biased, external experts in dam site selection were also used. The triangular fuzzy numbers were used to apply experts’ opinions on the selection criteria. In total, four alternative sites were assessed based on the technical, economic, social and environmental considerations and the data were analyzed using fuzzy TOPSIS MCDM model. Ranking results were compared with multi-criteria decision-making models, including the ELimination and Choice Expressing the REality and simple additive weighting. This logical, open and transparent framework provides a science-informed decision-making approach for complex problems such as optimal dam site selection. Finally, using sensitivity analysis, local studies and group discussions, we demonstrated the multiple benefits of the proposed novel method for a science-informed, open and transparent method for optimal ranking of the dam site candidates.

Suggested Citation

  • Amir Noori & Hossein Bonakdari & Khosro Morovati & Bahram Gharabaghi, 2018. "The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model," Environment Systems and Decisions, Springer, vol. 38(4), pages 471-488, December.
    • Handle: RePEc:spr:envsyd:v:38:y:2018:i:4:d:10.1007_s10669-018-9673-x
    DOI: 10.1007/s10669-018-9673-x
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    Cited by:

    1. Athanasios P. Vavatsikos & Efstratios Tsesmetzis & Georgios Koulinas & Dimitrios Koulouriotis, 2022. "A robust group decision making framework using fuzzy TOPSIS and Monte Carlo simulation for wind energy projects multicriteria evaluation," Operational Research, Springer, vol. 22(5), pages 6055-6073, November.
    2. Zachary A. Collier & James H. Lambert & Igor Linkov, 2018. "Systems modeling techniques for data analysis, decision making, and risk governance," Environment Systems and Decisions, Springer, vol. 38(4), pages 431-432, December.
    3. 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.
    4. Noori, Amir & Bonakdari, Hossein & Salimi, Amir Hossein & Gharabaghi, Bahram, 2021. "A group Multi-Criteria Decision-Making method for water supply choice optimization," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    5. Amir Hossein Salimi & Amir Noori & Hossein Bonakdari & Jafar Masoompour Samakosh & Ehsan Sharifi & Mohammadreza Hassanvand & Baharam Gharabaghi & Mehdi Agharazi, 2020. "Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method," Sustainability, MDPI, vol. 12(3), pages 1-33, February.
    6. Bashar Bashir & Abdullah Alsalman & Arsalan Ahmed Othman & Ahmed K. Obaid & Hussein Bashir, 2021. "New Approach to Selecting Civil Defense Centers in Al-Riyadh City (KSA) Based on Multi-Criteria Decision Analysis and GIS," Land, MDPI, vol. 10(11), pages 1-19, October.

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