Research on Intelligent Evaluation Model of Global Food System Using Analytic Hierarchy Process with Statistics and Calculations

Abstract

In order to cope with the instability of the current global food system, this paper established a global food system evaluation model and a global food system optimization model. We reimagine and determine the priority of the food system, conduct a comprehensive and reasonable assessment of the current food system, optimize it according to the current situation and predict the time required for the implementation of the system and the changes it will bring. We have established a global food system evaluation model. We begin with constructing a strict agreement-based global food system indicator system, consisting of 4 measurement dimensions and 21 indicators and their characteristics. (The four dimensions of the metrics are environment, society, food security and nutrition, and economy. The 21 indicators include 7 environmental indicators, 3 economic indicators, 3 social indicators, and 14 food and nutrition indicators) Next, depend on a large number of statistics and calculations, the Spearman correlation coefficient between the indicators is obtained. The Spearman correlation matrix is made to measure the correlation and correlation between the indicators. Then, we use the correlation as a reference to determine the weight of each indicator through the analytic hierarchy process and sort them.