IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v21y2007i4p717-728.html

Multi attribute utility theory for irrigation system evaluation

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-006-9060-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-006-9060-0?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hayashi, Kiyotada, 1998. "Multicriteria aid for agricultural decisions using preference relations: methodology and application," Agricultural Systems, Elsevier, vol. 58(4), pages 483-503, December.
    2. repec:iwt:conppr:h044141 is not listed on IDEAS
    3. Kidd, J. B. & Prabhu, S. P., 1990. "A practical example of a multi-attribute decision aiding technique," Omega, Elsevier, vol. 18(2), pages 139-149.
    4. 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.
    5. Gomez-Limon, Jose A. & Arriaza, Manuel & Riesgo, Laura, 2003. "An MCDM analysis of agricultural risk aversion," European Journal of Operational Research, Elsevier, vol. 151(3), pages 569-585, December.
    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. 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.
    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.

    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. Francisco J. André & Laura Riesgo, 2006. "A Duality Procedure to Elicit Nonlinear Multiattribute Utility Functions," Working Papers 06.02, Universidad Pablo de Olavide, Department of Economics.
    2. Perez-Mesa, Juan Carlos & Galdeano-Gomez, Emilio & Aznar-Sanchez, Jose A., . "Management System for Harvest Scheduling: The Case of Horticultural Production in Southeast Spain," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(4), pages 1-20.
    3. Hajkowicz, Stefan & Higgins, Andrew, 2008. "A comparison of multiple criteria analysis techniques for water resource management," European Journal of Operational Research, Elsevier, vol. 184(1), pages 255-265, January.
    4. Burak, Selmin & Samanlioglu, Funda & Ulker, Duygu & Kup, Eyup Tolunay, 2024. "Ranking willingness to reuse water in cotton irrigation with hybrid MCDM methods: Soke plain case study," Agricultural Water Management, Elsevier, vol. 301(C).
    5. Lu, H.W. & Huang, G.H. & Zhang, Y.M. & He, L., 2012. "Strategic agricultural land-use planning in response to water-supplier variation in a China’s rural region," Agricultural Systems, Elsevier, vol. 108(C), pages 19-28.
    6. Cano, Priscila B. & Cabrini, Silvina M. & Poggio, Santiago L., 2025. "Decision-making on crop sequence diversification in the Argentine pampas," Land Use Policy, Elsevier, vol. 159(C).
    7. Riesgo, Laura & Gómez-Limón, José A., 2005. "Multi-Criteria Policy Scenarios Analysis for Public Management of Irrigated Agriculture," 89th Seminar, February 2-5, 2005, Parma, Italy 239276, European Association of Agricultural Economists.
    8. André, Francisco J. & Herrero, Inés & Riesgo, Laura, 2010. "A modified DEA model to estimate the importance of objectives with an application to agricultural economics," Omega, Elsevier, vol. 38(5), pages 371-382, October.
    9. Müge Kirmikil, 2025. "Irrigation Performance Evaluation for Sustainable Water Management: A Study of Karacabey Water Users Association, Türkiye (2006–2023)," Sustainability, MDPI, vol. 17(9), pages 1-19, April.
    10. Demet Pekşen Süslü, 2017. "Examining Cyber Bullying and Cyber Victimization in High School Students," European Journal of Multidisciplinary Studies Articles, Revistia Research and Publishing, vol. 2, September.
    11. Donald L. Keefer & Craig W. Kirkwood & James L. Corner, 2004. "Perspective on Decision Analysis Applications, 1990–2001," Decision Analysis, INFORMS, vol. 1(1), pages 4-22, March.
    12. Emilio Cerdá & Sonia Quiroga Gómez, 2009. "Economic Value of Weather Forecasting Systems Information: A Risk Aversion Approach," Working Papers 2009-04, FEDEA.
    13. Xu, Jin & Leatham, David J., 2010. "Dynamic Analysis of Land Prices with Flexible Risk Aversion Coefficients," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61872, Agricultural and Applied Economics Association.
    14. Zgajnar, Jaka & Kavcic, Stane, 2011. "Weighted Goal Programming and Penalty Functions: Whole-farm Planning Approach Under Risk," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 118033, European Association of Agricultural Economists.
    15. Stamenkovska, Ivana Janeska & Dimitrievski, Dragi & Erjavec, Emil & Stojcheska, Aleksandra Martinovska & Zgajnar, Jaka, 2014. "A weighted goal programming model for vegetable production planning in Republic of Macedonia," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182967, European Association of Agricultural Economists.
    16. Hezam, Ibrahim M. & Ali, Ahmed M. & Sallam, Karam & Hameed, Ibrahim A. & Abdel-Basset, Mohamed, 2024. "An efficient decision-making model for evaluating irrigation systems under uncertainty: Toward integrated approaches to sustainability," Agricultural Water Management, Elsevier, vol. 303(C).
    17. Jorge L. García-Alcaraz & Aidé A. Maldonado-Macías & Juan L. Hernández-Arellano & Julio Blanco-Fernández & Emilio Jiménez-Macías & Juan C. Sáenz-Díez Muro, 2016. "Agricultural Tractor Selection: A Hybrid and Multi-Attribute Approach," Sustainability, MDPI, vol. 8(2), pages 1-16, February.
    18. Abbas Amini Fasakhodi & Seyed Nouri & Manouchehr Amini, 2010. "Water Resources Sustainability and Optimal Cropping Pattern in Farming Systems; A Multi-Objective Fractional Goal Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4639-4657, December.
    19. Niu, Geng & Zheng, Yi & Han, Feng & Qin, Huapeng, 2019. "The nexus of water, ecosystems and agriculture in arid areas: A multiobjective optimization study on system efficiencies," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    20. Saraiva, Joao Paulo & Pinheiro, Antonio Cipriano, 2007. "A Multi-Criteria Approach for Irrigation Water Management," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 8(01), pages 1-13, January.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:21:y:2007:i:4:p:717-728. 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.