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.
| Published in | Applied and Computational Mathematics (Volume 6, Issue 3) |
| DOI | 10.11648/j.acm.20170603.12 |
| Page(s) | 137-142 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Refugee Quota Plan, Grey Model, Multi-Objective Analysis
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APA Style
Hui-nan Zhu, Gang He, Zi-hui Zhang, Xue-hui Wang. (2017). The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis. Applied and Computational Mathematics, 6(3), 137-142. https://doi.org/10.11648/j.acm.20170603.12
ACS Style
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. Appl. Comput. Math. 2017, 6(3), 137-142. doi: 10.11648/j.acm.20170603.12
AMA Style
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. Appl Comput Math. 2017;6(3):137-142. doi: 10.11648/j.acm.20170603.12
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Download@article{10.11648/j.acm.20170603.12,
author = {Hui-nan Zhu and Gang He and Zi-hui Zhang and Xue-hui Wang},
title = {The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis},
journal = {Applied and Computational Mathematics},
volume = {6},
number = {3},
pages = {137-142},
doi = {10.11648/j.acm.20170603.12},
url = {https://doi.org/10.11648/j.acm.20170603.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acm.20170603.12},
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.},
year = {2017}
}
TY - JOUR T1 - The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis AU - Hui-nan Zhu AU - Gang He AU - Zi-hui Zhang AU - Xue-hui Wang Y1 - 2017/05/22 PY - 2017 N1 - https://doi.org/10.11648/j.acm.20170603.12 DO - 10.11648/j.acm.20170603.12 T2 - Applied and Computational Mathematics JF - Applied and Computational Mathematics JO - Applied and Computational Mathematics SP - 137 EP - 142 PB - Science Publishing Group SN - 2328-5613 UR - https://doi.org/10.11648/j.acm.20170603.12 AB - 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. VL - 6 IS - 3 ER -
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