Author(s): Junai Yan; Denghua Zhong; Liqin Cheng; Xiaoping Liang
Linked Author(s):
Keywords: Flood-control and disaster reduction; Alternative optimum; Artificial neural network; Fuzzy optimum selection; Subordinate degree to optimization
Abstract: The decision in flood control and disaster reduction will affect the evaluation of flood damage directly. How to apply the natural, economic and social information, through anticipatory analysis, to ensure the minimum damage after practicing certain optimum scheme is a core problem in the flood control and disaster reduction decision-making. In this paper, the factors affecting this decision-making are analyzed, the fuzzy optimum selection and neural network are applied in schemes optimization of urban flood-control and disaster reduction, and the model of optimum schemes is established, whose validity is tested through example.
Year: 2002