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Grain System Model Based on Weight Change

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DOI: 10.23977/jnca.2022.070101 | Downloads: 7 | Views: 1002


Dongyu Chen 1, Mengyao Li 1, Binbin Guo 1


1 School of Ocean Information Engineering, Jimei University, Fujian, Xiamen, 361021, China

Corresponding Author

Dongyu Chen


In order to establish an efficient model to represent the current global food system, considering that the current global food system is affected by different factors, and different factors have different degrees of comprehensive influence, this paper choose Entropy Weight Method to judge the influence of each factor on the system. The results calculated by the entropy method will change with the samples, which can be corrected by AHP. The results are processed by entropy method and then combined with analytic hierarchy process (AHP). Two vectors representing efficiency and profitability and fairness and sustainability respectively are obtained, which are represented by EPES1 and EPES2.EPES2 will change the weight of the four influencing factors through AHP to build a model that is biased towards fairness and sustainability.


Analytic hierarchy process, Entropy method, Global food system


Dongyu Chen, Mengyao Li, Binbin Guo, Grain System Model Based on Weight Change. Journal of Network Computing and Applications (2022) Vol. 7: 1-5. DOI:


[1] Food, United Nations. Retrieved from: ‘https: //’
[2] World Hunger, Poverty Facts, Statistics 2018 – World Hunger News, World Hunger News, 2018. Retrieved from: ‘

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