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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

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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.

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Authors and Affiliations

  1. Department of Civil Engineering, University of Qom, Qom, Iran

    Parisa-Sadat Ashofteh, Shirin Moradi Far & Parvin Golfam

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  1. Parisa-Sadat Ashofteh
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  2. Shirin Moradi Far
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  3. Parvin Golfam
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Contributions

Shirin Moradi Far developed the theory and performed the computations. Parvin Golfam verified the analytical methods and encouraged Shirin Moradi Far to investigate a specific aspect. Parisa-Sadat Ashofteh supervised the findings of this work. All authors discussed the results and contributed to the final manuscript. Parisa-Sadat Ashofteh wrote the manuscript. Parisa-Sadat Ashofteh conceived the original idea.

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Correspondence to Parisa-Sadat Ashofteh.

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Ashofteh, PS., Far, S.M. & Golfam, P. Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory. Water Resour Manage 37, 4385–4412 (2023). https://doi.org/10.1007/s11269-023-03560-7

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