Research on Food Security Evaluation Model based on data implicit Distribution Mining algorithm

Abstract

In recent years, the global food crisis has become increasingly serious. Therefore, we hope to build a new model of grain supply system to maximize the overall benefit of grain under the constraints of objective conditions. We first collect agricultural data from countries with different levels of development. Then, we use entropy method and TOPSIS model to construct the evaluation model of grain supply system, and compare the internal analysis and weight of different data. After comprehensively measuring the four aspects of grain production conditions, environmental sustainability, fairness and profit, we apply the model to value evaluation. The results show that sustainability and equity are important indicators.