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Multi attribute utility theory for irrigation system evaluation

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  • Komaragiri Raju
  • A. Vasan

Abstract

Multi Attribute Utility Theory (MAUT) is employed to rank the irrigation subsystems of Mahi Bajaj Sagar Project, Rajasthan, India. Seven performance evaluation criteria, namely, land development works, timely supply of inputs, conjunctive use of water resources, participation of farmers, economic impact, crop productivity and environmental conservation are employed. Kohonen Artificial Neural Networks (KANN) is employed to classify the irrigation subsystems that can be utilized for further ranking by MAUT. Spearman rank correlation technique is employed to compute correlation coefficient values between the obtained ranking pattern. Sensitivity analysis studies are also made to check the robustness in ranking. The proposed methodology can be applied for similar situations. Copyright Springer Science+Business Media B.V. 2007

Suggested Citation

  • Komaragiri Raju & A. Vasan, 2007. "Multi attribute utility theory for irrigation system evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 717-728, April.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:4:p:717-728
    DOI: 10.1007/s11269-006-9060-0
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    References listed on IDEAS

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    1. Bos, M. G., 1997. "Performance indicators for irrigation and drainage," Conference Papers h044141, International Water Management Institute.
    2. Raju, Komaragiri Srinivasa & Pillai, C. R. S., 1999. "Multicriterion decision making in performance evaluation of an irrigation system," European Journal of Operational Research, Elsevier, vol. 112(3), pages 479-488, February.
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    Cited by:

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    2. Mónica de Castro-Pardo & Pascual Fernández Martínez & Amelia Pérez Zabaleta & João C. Azevedo, 2021. "Dealing with Water Conflicts: A Comprehensive Review of MCDM Approaches to Manage Freshwater Ecosystem Services," Land, MDPI, vol. 10(5), pages 1-32, April.
    3. Siyu Zeng & Jining Chen & Ping Fu, 2008. "Strategic Zoning for Urban Wastewater Reuse in China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(9), pages 1297-1309, September.
    4. Madson B. S. Monte & Adiel T. Almeida-Filho, 2016. "A Multicriteria Approach Using MAUT to Assist the Maintenance of a Water Supply System Located in a Low-Income Community," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3093-3106, July.
    5. Scholten, Lisa & Schuwirth, Nele & Reichert, Peter & Lienert, Judit, 2015. "Tackling uncertainty in multi-criteria decision analysis – An application to water supply infrastructure planning," European Journal of Operational Research, Elsevier, vol. 242(1), pages 243-260.

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