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The Research of Refugee Quota Plan on the Basis of Grey Model and Muti-Objective Analysis

Received: 29 March 2017     Accepted: 11 April 2017     Published: 22 May 2017
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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.

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

Keywords

Refugee Quota Plan, Grey Model, Multi-Objective Analysis

References
[1] Wang Lei. The Analysis of European Union's Refugee Policy (1980-2014) [D]. East China Normal University master's dissertation.2015.4.
[2] Number displaced worldwide hits record high - UN report http://www. bbc. com/.
[3] Migrant crisis: http://www.the refugee project.org/.
[4] Roger Zetter, More Labels, Fewer Refugees: Remaking the Refugee Label in an Era of Globalization, Journal of Refugee Studies, 2007, 20(2):172-192.
[5] http://www.nytimes.com/2015/08/28/world/migrants-refugees-europe-syria.html? r=0.
[6] Ming-fang He. The Population Prediction based on Gray System [D]. South China University of Technology.2012.05.
[7] Mao-guo Gong, Li-cheng Jiao, Dong-dong Yang, Wen-ping Wang. Research on Evolutionary Multi-Objective Optimization Algorithms [J]. Journal of Software, Vol.20 No.2 February 2009.
[8] James Hollield Philip MartinPia Orrenius, Controlling Immigration: A Global Per-spective (Third Edition), 2014.
[9] UNHCR, As Syria Crisis continues, UNHCR urges EU States to Uphold Common Asylum System Principles, October, 2012.
[10] Eleonore Kofman, Gender and International Migration in Europe: Employment, Welfare, and Politics, 2000.
[11] Jun Zhang. Improvement of Gray Forecasting Model And its Application [D]. Xi'an University of Technology.2008.03.
[12] Fang Hua. Refugee Protection and Europe's Dilemma in the Management of Refugee Wave from the Middle East [J]. West Asia and Africa.2015.06.
Cite This Article
  • 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

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    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

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    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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  • @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}
    }
    

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    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
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    T2  - Applied and Computational Mathematics
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    JO  - Applied and Computational Mathematics
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    PB  - Science Publishing Group
    SN  - 2328-5613
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    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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Author Information
  • Humanities Department, Tianjin Agricultural University, Tianjin, China

  • Humanities Department, Tianjin Agricultural University, Tianjin, China

  • College of Basic Sciences, Tianjin Agricultural University, Tianjin, China

  • College of Basic Sciences, Tianjin Agricultural University, Tianjin, China

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