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Hybrid fuzzy multi-criteria decision making to solve the irrigation water allocation problem in the Tunisian case

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  • Elleuch, Mohamed Ali
  • Anane, Makram
  • Euchi, Jalel
  • Frikha, Ahmed

Abstract

Modernization and optimization of irrigated agriculture management can involve substantial conflicting factors using the opinions of experts. A combined approach based on concepts of Fuzzy Multi-Criteria Decision-Making (FMCDM) methods and Mathematical Optimization Programming (MOP) model for water allocation problem has been developed. In the first phase, we calculate the criteria weights using fuzzy AHP with water expert opinions. Then, we determine the performance of various water resources performed through the application of the fuzzy TOPSIS method. In the second phase, we solve the water resource allocation using the MOP model with the Multi-Criteria Decision-Making (MCDM) results. The allocation of irrigation water resources using the proposed approach was tested on Sfax irrigation district, southern Tunisia. The achieved results indicate that the combination of the fuzzy MCDM model and the MOP methods provide effective linkages between irrigation expert opinions, economic return, and performance of water resource objectives.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:agisys:v:176:y:2019:i:c:s0308521x19300101
    DOI: 10.1016/j.agsy.2019.102644
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    Cited by:

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    2. Z. Ghaffari Moghadam & E. Moradi & M. Hashemi Tabar & A. Sardar Shahraki, 2023. "Developing a Bi-level programming model for water allocation based on Nerlove’s supply response theory and water market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5663-5689, June.
    3. Sourour Aouadni & Jalel Euchi, 2022. "Using Integrated MMD-TOPSIS to Solve the Supplier Selection and Fair Order Allocation Problem: A Tunisian Case Study," Logistics, MDPI, vol. 6(1), pages 1-18, January.
    4. Alexandros Gkatsikos & Konstadinos Mattas & Efstratios Loizou & Dimitrios Psaltopoulos, 2022. "The Neglected Water Rebound Effect of Income and Employment Growth," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 379-398, January.
    5. 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.
    6. Karner, Katrin & Schmid, Erwin & Schneider, Uwe A. & Mitter, Hermine, 2021. "Computing stochastic Pareto frontiers between economic and environmental goals for a semi-arid agricultural production region in Austria," Ecological Economics, Elsevier, vol. 185(C).
    7. Reza Zamani & Ali Mohammad Akhond Ali & Abbas Roozbahani, 2020. "Evaluation of Adaptation Scenarios for Climate Change Impacts on Agricultural Water Allocation Using Fuzzy MCDM Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1093-1110, February.
    8. Li, Mo & Sun, Hao & Liu, Dong & Singh, Vijay P. & Fu, Qiang, 2021. "Multi-scale modeling for irrigation water and cropland resources allocation considering uncertainties in water supply and demand," Agricultural Water Management, Elsevier, vol. 246(C).

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