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Re-optimization of food system

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DOI: 10.23977/agrfem.2021.040104 | Downloads: 4 | Views: 223

Author(s)

Xiaohui Shi 1, Ping Man 1, Xinlong Wang 1, Quanqiang Wei 1, Yuzheng Fan 1

Affiliation(s)

1 School of Information Science and Engineering, Zaozhuang University, Zaozhuang, Shandong 277100

Corresponding Author

Xiaohui Shi

ABSTRACT

As one of the hot issues in the world, food security has been widely concerned by the international community. Food security is not only a symbol of a country's stable development, but also the most basic guarantee for human survival. With the increase of global population and the continuous deterioration of the environment, the situation of food security has become very serious. At present, the global food security situation has not yet alleviated, and some indicators are even deteriorating. Therefore, this paper constructs an agricultural system evaluation model to find the best way to solve the problem of global food security. In order to better optimize the grain system, according to the principle of fair and sustainable development, this paper uses the principal component analysis method and entropy-based TOPSIS method to establish an agricultural system evaluation model. First of all, the food security index data of 20 representative countries in the past five years are selected and processed by PCA. Then use the PSO model to optimize each grain system, then calculate the ranking through the agricultural system evaluation model, and then calculate the change coefficient of each index after n optimization. Finally, the grey prediction model is used to predict and analyze the change coefficient, and it is found that it takes 5-7 years to realize the optimized system.

KEYWORDS

entropy weight TOPSIS, food security, comprehensive evaluation, PSO

CITE THIS PAPER

Xiaohui Shi, Ping Man, Xinlong Wang, Quanqiang Wei, Yuzheng Fan, Re-optimization of food system. Agricultural & Forestry Economics and Management (2021) Vol. 4: 16-20. DOI: http://dx.doi.org/10.23977/agrfem.2021.040104

REFERENCES

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