A fuzzy multiobjective-programming model was presented to determine appropriate environmental flow allocation in urban rivers. An integrated nonlinear fuzzy membership function, that represents a broader implication in fuzzy decision-making, was regarded as the general objective and genetic algorithm became an essential tool in search for the global optimal solution. A case study of optimal allocation for environmental water requirements in the Liming River Basin, Daqing, demonstrates the capability of the fuzzy multiobjective model based on fuzzy decision theories to work suitably in water environmental management in a river basin.
A genetic algorithm-based fuzzy multi-objective programming approach for environmental water allocation
W. Yang, D.Z. Sun; A genetic algorithm-based fuzzy multi-objective programming approach for environmental water allocation. Water Science and Technology: Water Supply 1 October 2006; 6 (5): 43–50. doi: https://doi.org/10.2166/ws.2006.763
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