A Study of the Global National Food Security System Based on the AEG Model

DOI

10.2991/978-94-6463-064-0_53How to use a DOI?

Keywords

entropy right method; analytic hierarchy process (AHP); gray prediction; AEG evaluation and prediction model; food system

Abstract

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 pre-optimization 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.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jinglin Zeng
AU  - Xiancai Zhang
AU  - Ruijie Tang
PY  - 2022
DA  - 2022/12/27
TI  - A Study of the Global National Food Security System Based on the AEG Model
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 514
EP  - 522
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_53
DO  - 10.2991/978-94-6463-064-0_53
ID  - Zeng2022
ER  -