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Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory

Author

Listed:
  • Parisa-Sadat Ashofteh

    (University of Qom)

  • Shirin Moradi Far

    (University of Qom)

  • Parvin Golfam

    (University of Qom)

Abstract

The purpose of this research is to use the multi-criteria decision-making (MCDM) of Combinative Distance-Based Assessment (CODAS) to select the best game theory method for agricultural and environmental water stakeholders (as players of games theory) in order to optimally allocate water from the Idogmosh dam reservoir (Iran). For this purpose, water optimal allocation were extracted using the Marine Predator Algorithm (MPA) for two periods of 14-year base and climate change. In this research, bankruptcy theory [Including (1) Proportional (PRO), (2) Adjusted Proportional (AP), (3) Constrained Equal Award (CEA), (4) Constrained Equal Loss (CEL)], and dispute resolution theory [(5) (NASH)] are used. The selection of the best game theory method is based on 10 reservoir performance indexes (as evaluation criteria). Then, these criteria are weighted separately by the Step Wise Weight Assessment Ratio Analysis (SWARA) method. In the last step, five different game theory methods are prioritized for each of the agricultural and environmental players using the CODAS decision-making method. The results show that the best game theory method for the agricultural player in the base and future time periods is the Nash method, with an evaluation score of 0.108 and 0.099, respectively. Also, the best method for the environmental player is the Nash method, which has assigned evaluation score of 0.14 and 0.39 for the base and future periods, respectively. The proposed method can be useful for determining and prioritizing long-term policies for the reservoir water optimal allocation to different stakeholders.

Suggested Citation

  • Parisa-Sadat Ashofteh & Shirin Moradi Far & Parvin Golfam, 2023. "Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4385-4412, September.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:11:d:10.1007_s11269-023-03560-7
    DOI: 10.1007/s11269-023-03560-7
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    References listed on IDEAS

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    1. Kobra Rahmati & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2021. "Application of the Grasshopper Optimization Algorithm (GOA) to the Optimal Operation of Hydropower Reservoir Systems Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4325-4348, October.
    2. Arunodaya Raj Mishra & Pratibha Rani, 2018. "Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy," Group Decision and Negotiation, Springer, vol. 27(6), pages 1047-1078, December.
    3. Mohammad S. Khorshidi & Mohammad Reza Nikoo & Mojtaba Sadegh & Banafsheh Nematollahi, 2019. "A Multi-Objective Risk-Based Game Theoretic Approach to Reservoir Operation Policy in Potential Future Drought Condition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1999-2014, April.
    4. Vijendra Kumar & S. M. Yadav, 2018. "Optimization of Reservoir Operation with a New Approach in Evolutionary Computation Using TLBO Algorithm and Jaya Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4375-4391, October.
    5. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    6. Saiyan Liu & Yangyang Xie & Hongyuan Fang & Qiang Huang & Shengzhi Huang & Jingcai Wang & Zhen Li, 2020. "Impacts of Inflow Variations on the Long Term Operation of a Multi-Hydropower-Reservoir System and a Strategy for Determining the Adaptable Operation Rule," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1649-1671, March.
    7. Jyrki Wallenius & James S. Dyer & Peter C. Fishburn & Ralph E. Steuer & Stanley Zionts & Kalyanmoy Deb, 2008. "Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead," Management Science, INFORMS, vol. 54(7), pages 1336-1349, July.
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