Abstract
In view of the contradiction of water use among water use departments, the optimal allocation of water resources can be effectively solved and the efficient utilization of water resources can be realized. The goal of this study is to combine the interval type-2 fuzzy algorithm with bi-level programming (BP) method, propose a type-2 fuzzy bi-level model (T2FBL), and apply it to the water resources planning system in the southern Fujian Province. The main innovations and contributions of this study is that a new type-two fuzzy bilayer model (T2FBL) is proposed by combining type-two fuzzy theory with BP method and applied to water resources planning. The new model balances the needs of decision-makers (DMs) at different levels in southern Fujian Province. The upper level decision aims to maximize the overall social benefit of the region by minimizing the regional water shortage, while the lower level decision focuses on achieving the economic benefit goal by improving the net benefit of regional water supply. The MCDA method is adopted to further analyze the results of water resources allocation. In the future direction, water supply to the service industry can be strengthened. Ideally, 73.79% water supply to the tertiary industry can achieve a scenario with the maximum target benefit. T2FBL model can obtain the results of water resources allocation among different agricultural, industrial and tertiary industries, and reveal the relationship between various competitive users. These findings can provide an in-depth understanding of the interaction between agricultural, industrial and tertiary industry water allocation and provide technical support for water resource planning issues.
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Acknowledgements
This work was funded by Fujian provincial industry-university research collaborative innovation (2021Y4005), Fujian Natural Science Foundation (2021J011176), Youth Program of Fujian Provincial Social Sciences Foundation of China (FJ2020C010).
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Bai, R., Jin, L., Zhuo, B., Fu, H.Y., Liu, J., Guo, H.B. (2023). Development of a Type-2 Fuzzy Bi-level Programming Model Coupling MCDA Analysis for Water Resources Optimization Under Uncertainty. In: Yang, Z. (eds) Environmental Science and Technology: Sustainable Development. ICEST 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-27431-2_4
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DOI: https://doi.org/10.1007/978-3-031-27431-2_4
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