The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis
Applied and Computational Mathematics
Volume 6, Issue 3, June 2017, Pages: 137-142
Received: Mar. 29, 2017; Accepted: Apr. 11, 2017; Published: May 22, 2017
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Authors
Hui-nan Zhu, Humanities Department, Tianjin Agricultural University, Tianjin, China
Gang He, Humanities Department, Tianjin Agricultural University, Tianjin, China
Zi-hui Zhang, College of Basic Sciences, Tianjin Agricultural University, Tianjin, China
Xue-hui Wang, College of Basic Sciences, Tianjin Agricultural University, Tianjin, China
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Abstract
In recent years, it brings lots of challenges for European governments with the influx of refugees. Hence, we build relative models to solve this situation. In this paper, we get relative data from UNHCR statistical yearbook and make a short-term prediction of refugee number via grey GM (1, 1) model at first. Then we select five limited indexes for the multi-objective analysis, in order to build the optimal quota model and get optimal quota plan. Finally, we put forward some feasible suggestions to EU about refugee quota plan on the basis of former analyses.
Keywords
Refugee Quota Plan, Grey Model, Multi-Objective Analysis
To cite this article
Hui-nan Zhu, Gang He, Zi-hui Zhang, Xue-hui Wang, The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis, Applied and Computational Mathematics. Vol. 6, No. 3, 2017, pp. 137-142. doi: 10.11648/j.acm.20170603.12
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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