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A fuzzy risk approach for performance evaluation of an irrigation reservoir system

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  • Suresh, K. R.
  • Mujumdar, P. P.

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  • Suresh, K. R. & Mujumdar, P. P., 2004. "A fuzzy risk approach for performance evaluation of an irrigation reservoir system," Agricultural Water Management, Elsevier, vol. 69(3), pages 159-177, October.
    • Handle: RePEc:eee:agiwat:v:69:y:2004:i:3:p:159-177
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    Cited by:

    1. Shapiro, Arnold F., 2013. "Modeling future lifetime as a fuzzy random variable," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 864-870.
    2. Chongfu Huang & Da Ruan, 2008. "Fuzzy Risks and an Updating Algorithm with New Observations," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 681-694, June.
    3. Nam, Won-Ho & Choi, Jin-Yong, 2014. "Development of an irrigation vulnerability assessment model in agricultural reservoirs utilizing probability theory and reliability analysis," Agricultural Water Management, Elsevier, vol. 142(C), pages 115-126.
    4. Arnold Shapiro, 2013. "Fuzzy post-retirement financial concepts: an exploratory study," METRON, Springer;Sapienza Università di Roma, vol. 71(3), pages 261-278, November.
    5. Nikouei, Alireza & Asgharipour, Mohammad Reza & Marzban, Zahra, 2022. "Modeling land allocation to produce crops under economic and environmental goals in Iran: a multi-objective programming approach," Ecological Modelling, Elsevier, vol. 471(C).
    6. D. Regulwar & Jyotiba Gurav, 2012. "Sustainable Irrigation Planning with Imprecise Parameters under Fuzzy Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3871-3892, October.

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