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The Application of Analytic Hierarchy Process and Neural Network in the Sustainability Analysis of Country

Our paper provide two measures to distinguish more sustainable countries from less sustainable ones, which contain Analytic Hierarchy Process and Neural Network. We select human health, food security, equitable sustainable development, local environmental quality, and energy access, livelihoods, community vulnerability, and access to clean water as evaluation indexes. With Analytic Hierarchy Process and Neural Network methods, we can clearly define when and how a county is sustainable or unsustainable and obtain countries that need the most support and intervention. Finally we obtain the solution of AHP.