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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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    Cited by:

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    2. Schuwirth, N. & Reichert, P. & Lienert, J., 2012. "Methodological aspects of multi-criteria decision analysis for policy support: A case study on pharmaceutical removal from hospital wastewater," European Journal of Operational Research, Elsevier, vol. 220(2), pages 472-483.
    3. 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.
    4. 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.
    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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