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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2023
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| _version_ | 1866901126141444096 |
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| author | Ashofteh, Parisa-Sadat Far, Shirin Moradi Golfam, Parvin |
| author_facet | Ashofteh, Parisa-Sadat Far, Shirin Moradi Golfam, Parvin |
| contents | 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. 2023, The Author(s), under exclusive licence to Springer Nature B.V. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_1007_s11269-023-03560-7 |
| institution | Zenodo |
| language | eng |
| publishDate | 2023 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory Ashofteh, Parisa-Sadat Far, Shirin Moradi Golfam, Parvin CODAS multi-criteria decision making method Game theory NASH dispute resolution model Optimization with MPA, Bankruptcy theory Performance indexes of water supply system SWARA weighting method 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. 2023, The Author(s), under exclusive licence to Springer Nature B.V. |
| title | Application of Multi-Criteria Decision-Making of CODAS and SWARA in Reservoir Optimal Operation Using Marine Predator Algorithm Based on Game Theory |
| topic | CODAS multi-criteria decision making method Game theory NASH dispute resolution model Optimization with MPA, Bankruptcy theory Performance indexes of water supply system SWARA weighting method |
| url | https://doi.org/10.1007/s11269-023-03560-7 |