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Variable Sets and Fuzzy Rating Interval for Water Allocation Options Assessment

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  • Xin-Yu Wan
  • Ping-An Zhong
  • Emmanuel Appiah-Adjei

Abstract

Optimal water allocation is an important means of improving water use efficiency. However, since water allocation options are usually characterized by multi-region, multi-principle and multi-criterion factors, decision-makers often have difficulty in making objective decisions using them because the many available water allocation options often make the ratings of the options so close to be ranked. This study present a hierarchy variable sets (VS) model, based on the single-layer variable sets model, for ranking the water allocation options of Jining City, China. The ratings of the options are evaluated using a fuzzy rating interval (FRI) that can overcome homogenization in the ratings. The structure of the model presented in this study is clear with a simple procedure of computation and the result is rational. The case study used illustrates that this model can help decision-makers know the rating of water allocation options partially and overall. The computed result from this model appears more convincing than a previous water allocation approach for the city based on the maximum entropy principle. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Xin-Yu Wan & Ping-An Zhong & Emmanuel Appiah-Adjei, 2014. "Variable Sets and Fuzzy Rating Interval for Water Allocation Options Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2833-2849, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:2833-2849
    DOI: 10.1007/s11269-014-0640-0
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    Cited by:

    1. Yan Feng & Qian Bao & Liu Chenglin & Wei Bowen & You Zhang, 2018. "Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2901-2915, June.
    2. Feng Yan & Ling Liu & You Zhang & Musong Chen & Ning Chen, 2016. "The Research of Dynamic Variable Fuzzy Set Assessment Model in Water Quality Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 63-78, January.

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