层次分析法
指数平滑
粮食安全
计算机科学
中国
运筹学
工程类
地理
计算机视觉
农业
考古
作者
Jinglin Zeng,Xiancai Zhang,Ruijie Tang
出处
期刊:
[Atlantis Press]
日期:2022-12-26
卷期号:: 514-522
标识
DOI:10.2991/978-94-6463-064-0_53
摘要
At present, although the global food system is highly efficient and functioning well in some parts of the world, it has brought great harm to the environment, and as the number of people worldwide increases, the impact on the environment is getting worse and worse.Therefore, for the global food system to produce more food while being sustainable and to maintain or even improve our environmental health, we will reimagine and adapt the global food system.Our work used the AEG evaluation and prediction model plus the secondary exponential smoothing method to construct the new AEGQ model to make predictions, and then to support our model by scoring forecasts for China and the U.S. food security system.Our team first worked out the weight of the indicators that did not change the priority, and then used the entropy weight method to score the food security system, and then used analytic hierarchy process (AHP) to optimize the weight of each indicator.We change the priority, and get the Chinese and U.S. food security system ratings, then use Matlab gray prediction and SPSS secondary index smoothing method to predict.Compared with the trend of preoptimization food security system scoring, we can find that the rating of optimized food security system is relatively high, but China's optimized rating is not higher, perhaps because the model is still imperfect, but for most countries the model is still reliable, which can prove that our model is relatively accurate.
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