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Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature

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  • Jyotiba Gurav
  • D. Regulwar

Abstract

This paper presents the Multi Objective Fuzzy Linear Programming (MOFLP) model, which deals with the fuzziness in resources and decision variables, closer to the real world situation. The MOFLP model is developed and applied to the Jayakwadi Project Stage-I built across the river Godavari in the State of Maharashtra, India. It focuses on the four objectives namely maximization of Net Benefits, maximization of Crop Production, maximization of Employment Generation and maximization of Manure Utilization. The level of satisfaction λ = 0.625 is worked out for compromised solution for four conflicting objectives under fuzzy environment. The MOFLP model compromised solution for irrigation planning provides Net Benefits 1522.75 (Million Rupees), Crop Production 322504.40 (Tons), Employment Generation 29.27 (Million Man Days) and Manure Utilization 147229.40 (Tons) respectively and irrigation intensity 68.50 %. The results obtained are promising for sustainable development in irrigation sector and closer to the true picture of the real world problem as it incorporates the fuzziness in both resources and decision variables simultaneously. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Jyotiba Gurav & D. Regulwar, 2012. "Multi Objective Sustainable Irrigation Planning with Decision Parameters and Decision Variables Fuzzy in Nature," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 3005-3021, August.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:10:p:3005-3021
    DOI: 10.1007/s11269-012-0062-9
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    References listed on IDEAS

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    1. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    2. Jimenez, Mariano & Arenas, Mar & Bilbao, Amelia & Rodri'guez, M. Victoria, 2007. "Linear programming with fuzzy parameters: An interactive method resolution," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1599-1609, March.
    3. Dattatray Regulwar & Jyotiba Gurav, 2011. "Irrigation Planning Under Uncertainty—A Multi Objective Fuzzy Linear Programming Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(5), pages 1387-1416, March.
    4. Rommelfanger, Heinrich, 1996. "Fuzzy linear programming and applications," European Journal of Operational Research, Elsevier, vol. 92(3), pages 512-527, August.
    5. D. Regulwar & P Raj, 2008. "Development of 3-D Optimal Surface for Operation Policies of a Multireservoir in Fuzzy Environment Using Genetic Algorithm for River Basin Development and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(5), pages 595-610, May.
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    Cited by:

    1. Yang, Gaiqiang & Guo, Ping & Huo, Lijuan & Ren, Chongfeng, 2015. "Optimization of the irrigation water resources for Shijin irrigation district in north China," Agricultural Water Management, Elsevier, vol. 158(C), pages 82-98.

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