Research on Grain System Evaluation and Optimization Based on Entropy Weight Method

Abstract

Owing to the unstable food system nowadays, it is urgent to establish a new food system that is robust enough, so we established the current food system scoring model based on 21 indicators at three levels: economy, environment, and food & nutrition. Then normalize the corresponding data of each indicator, and use DEA and entropy weight method(EWM) to calculate the weight to quantify the score of the food system. When strengthening the consideration of sustainability and equity, we use the grey correlation method to analyze the correlation coefficients between sustainability, equity and the main indicators, then get the optimized score. In addition, we introduced Holt's two-parameter exponential smoothing time series analysis model to predict the development trend of the score of the existing system and the enhancement system, and determine the time required for enhancement to produce a certain effect.