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Factorial fuzzy programming for planning water resources management systems

Author

Listed:
  • Yang Zhou
  • Gordon Huang
  • Shuo Wang
  • Zhong Li
  • Ya Zhou

Abstract

In this paper, we propose a factorial fuzzy programming (FFP) approach for planning water resources management systems. The conventional fuzzy method cannot reflect the interactions among uncertain system parameters nor quantify their interactive effects. This may lead to important interrelationships among system parameters being neglected in systems analysis, and the derived decisions may not be robust enough to support the management under uncertainties. The objective of this study is to develop an FFP approach to deal with such interactive uncertainties. Factorial analysis (FA) was integrated with the fuzzy technique to quantify the effects of multiple fuzzy modeling parameters on the system performance and to reveal their implicit interrelationships. A flood-diversion planning case was studied to illustrate the applicability of the FFP approach. The individual and interactive effects of fuzzy parameters on the system objectives were evaluated. The influential effects were identified and the implicit interrelationships within influential interactions were revealed.

Suggested Citation

  • Yang Zhou & Gordon Huang & Shuo Wang & Zhong Li & Ya Zhou, 2016. "Factorial fuzzy programming for planning water resources management systems," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(10), pages 1855-1872, October.
    • Handle: RePEc:taf:jenpmg:v:59:y:2016:i:10:p:1855-1872
    DOI: 10.1080/09640568.2015.1093924
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    Cited by:

    1. Yang Zhou & Bo Yang & Jingcheng Han & Yuefei Huang, 2018. "Robust Linear Programming and Its Application to Water and Environmental Decision-Making under Uncertainty," Sustainability, MDPI, vol. 11(1), pages 1-12, December.

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