Scheme optimum selection for dynamic control of reservoir limited water level

Dynamic control of reservoir limited water level is important to reservoir flood control operation. A reasonable limited water level can best utilize flood water resources in addition to flood control. This paper is a trial application of the fuzzy information entropy matter-element evaluation method (FIEMEM) as an optimal selection of dynamic control of limited water level. In this method, compound matter elements are established first, followed by establishment of an evaluation model and choice of the optimal scheme on the basis of fuzzy information entropy. In determining weights, a combined weighting method in game theory is adopted to combine experiential weights and mathematical weights so as to eliminate one-sidedness of the single weighting method. Finally, the feasibility of this optimization method is verified by citing dynamic control of Biliuhe reservoir limited water level as an example.