Proceedings of the 2016 International Conference on Economy, Management and Education Technology

Research on metrics of refugee crises

Authors
Qinfei Long
Corresponding Author
Qinfei Long
Available Online May 2016.
DOI
https://doi.org/10.2991/icemet-16.2016.382How to use a DOI?
Keywords
Gray fuzzy evaluation; Analytic Hierarchy Process; Key implicating metrics.
Abstract

We set up key implicating metrics to evaluate the specific factors which can enable the safe of refugees. The metrics are adapting Gray fuzzy evaluation on the basic of Analytic Hierarchy Process (AHP), involving the physical conditions of the refugees, the number of refugees, the distance of migration, the means of transportation, the level of natural environment, the capacity of reception country, the number of the entry points and social assistance. Among these factors, the number of refugees a country accepts and transportation are the most important, whose results are based on the model.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Economy, Management and Education Technology
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2016
ISBN
978-94-6252-193-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/icemet-16.2016.382How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qinfei Long
PY  - 2016/05
DA  - 2016/05
TI  - Research on metrics of refugee crises
BT  - Proceedings of the 2016 International Conference on Economy, Management and Education Technology
PB  - Atlantis Press
SP  - 1664
EP  - 1667
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemet-16.2016.382
DO  - https://doi.org/10.2991/icemet-16.2016.382
ID  - Long2016/05
ER  -