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Combining Prediction Models and Dimensionality Reduction Technology for Water Resources Management Under Incomplete Information and Dynamic Change

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  • Xi Yang

    (Sun Yat-Sen University)

  • Zhihe Chen

    (Sun Yat-Sen University
    Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai))

Abstract

The reasonable selection of water resource management alternatives is crucial for decision-makers to develop effective management measures ensuring the sustainable use of water resources. A hybrid decision framework is proposed to address incomplete decision data and dynamic updates of criteria. This framework integrates generalized regression neural networks (GRNN), affinity propagation clustering (AP), probabilistic neural networks (PNN), and a linear weighting method, aiming to achieve long-term socio-economic sustainability. First, based on the PNN model, the missing matrix is filled to obtain a complete evaluation matrix. Then, AP is used to cluster the evaluation criteria to obtain the decision matrix of the cluster center, effectively reducing the dimension of the matrix. For the new evaluation criteria, PNN classifies and updates the cluster center matrix, addressing criteria updates effectively. The alternatives are ranked using the linear weighting method. The framework's effectiveness and reliability are verified through two cases: urban water supply and reservoir optimal operation. Results demonstrate that this hybrid decision-making framework aids managers in selecting optimal schemes.

Suggested Citation

  • Xi Yang & Zhihe Chen, 2024. "Combining Prediction Models and Dimensionality Reduction Technology for Water Resources Management Under Incomplete Information and Dynamic Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(14), pages 5629-5644, November.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:14:d:10.1007_s11269-024-03925-6
    DOI: 10.1007/s11269-024-03925-6
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    References listed on IDEAS

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    1. Chloé Grison & Stef Koop & Steven Eisenreich & Jan Hofman & I-Shin Chang & Jing Wu & Dragan Savic & Kees Leeuwen, 2023. "Integrated Water Resources Management in Cities in the World: Global Challenges," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2787-2803, May.
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    3. Babak Zolghadr-Asli & Omid Bozorg-Haddad & Maedeh Enayati & Xuefeng Chu, 2021. "A review of 20-year applications of multi-attribute decision-making in environmental and water resources planning and management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14379-14404, October.
    4. Parvin Golfam & Parisa-Sadat Ashofteh & Hugo A. Loáiciga, 2019. "Evaluation of the VIKOR and FOWA Multi-Criteria Decision Making Methods for Climate-Change Adaptation of Agricultural Water Supply," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2867-2884, June.
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    2. Meng Meng, 2024. "Construction of Ecological Water Resources Management Leadership Model Based on Multi-Agent Collaboration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 5809-5822, December.

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