IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i14d10.1007_s11269-024-03925-6.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-03925-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-024-03925-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Salehi, Sattar & Robles-Velasco, Alicia & Seyedzadeh, Ali & Ghazali, Aliakbar & Davoudiseresht, Mohsen, 2022. "A hybrid knowledge-based method for pipe renewal planning in Water Distribution Systems with limited data: Application to Iran," Utilities Policy, Elsevier, vol. 78(C).
    2. Omid Bozorg-Haddad & Babak Zolghadr-Asli & Xuefeng Chu & Hugo A. Loáiciga, 2021. "Intense extreme hydro-climatic events take a toll on society," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2385-2391, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:38:y:2024:i:14:d:10.1007_s11269-024-03925-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.