摘要
Taking the mountain flood disaster prevention and control project in Jiangxi province as the research object, the evaluation period is 2010-2015, and 29 evaluation indexes are selected from 7 aspects. In this paper, game theory is introduced to optimize the subjective and objective weights of the index, and the comprehensive weights are obtained by normalization. The results show that the eigenvalues of the grade variables of benefit evaluation decreased from 3.43 to 2.03, indicating that the project of mountain flood disaster prevention and control in Jiangxi province brings into play the benefits year by year, and the eigenvalues tend to decrease steadily after 2012, it is consistent with the changes of various engineering measures and non-engineering measures in the project.
Taking the mountain flood disaster prevention and control project in Jiangxi province as the research object, the evaluation period is 2010-2015, and 29 evaluation indexes are selected from 7 aspects. In this paper, game theory is introduced to optimize the subjective and objective weights of the index, and the comprehensive weights are obtained by normalization. The results show that the eigenvalues of the grade variables of benefit evaluation decreased from 3.43 to 2.03, indicating that the project of mountain flood disaster prevention and control in Jiangxi province brings into play the benefits year by year, and the eigenvalues tend to decrease steadily after 2012, it is consistent with the changes of various engineering measures and non-engineering measures in the project.
作者
Peixun Liu
Yanbin Shao
Jiawen Ye
Pingping Shi
Dingbo Yuan
Zhengwen Xu
Peixun Liu;Yanbin Shao;Jiawen Ye;Pingping Shi;Dingbo Yuan;Zhengwen Xu(Jiangxi Academy of Emergency Management Sciences, Nanchang, China;School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou, China;Jiangxi Academy of Eco-Environmental Sciences and Planning, Nanchang, China;College of Environment, Hohai University, Nanjing, China;Fuhe Hydrological and Water Resources Monitoring Center, Fuzhou, China)
