Global food system assessment and optimization in terms of sustainability and equity

We design a three-level evaluation system for food accessibility capability and composite index food accessibility indicator(FAI)to investigate the equity and sustainability of the global food system.To concrete,based on Entropy Weight Method(EWM),we select fourteen indicators indicating the efficient,profitability,equity and sustainability of food system,and on this basis,construct the threelevel evaluation system.Then,we use fuzzy clustering method to divide the food system into three states:fragile,vulnerable and stable,and gray GM(1,1)model to predict and compare the FAI curve and the perturbed FAI curve to evaluate the effectiveness of the perturber FAI.Thereafter,we create a cost prediction equation,describe the benefits and costs of changes in indicators on the food system.Finally,we conduct the in-depth analysis of FAI model,and investigate the extendibility and adaptability of the model,and propose modification suggestions for small scale food system and large scale food system to improve the accuracy and extendibility of the model.In summary,the proposed models formalize a fairer globally achievable goal and promotion measures for food accessibility capability.What’s more,they can dynamically adapt to,including but not limited to,region size,and national development capacity.