Guodong Zhao1, Yuewei Zhang1, Yiqi Shi2, Haiyan Lan1,*, Qing Yang3
CMC-Computers, Materials & Continua, Vol.58, No.2, pp. 421-436, 2019, DOI:10.32604/cmc.2019.03782
Abstract Climate change is the main factor affecting the country’s vulnerability, meanwhile, it is also a complicated and nonlinear dynamic system. In order to solve this complex problem, this paper first uses the analytic hierarchy process (AHP) and natural breakpoint method (NBM) to implement an AHP-NBM comprehensive evaluation model to assess the national vulnerability. By using ArcGIS, national vulnerability scores are classified and the country’s vulnerability is divided into three levels: fragile, vulnerable, and stable. Then, a BP neural network prediction model which is based on multivariate linear regression is used to predict the critical point of vulnerability. The function of… More >
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