Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

An evaluation index of path quantization based on entropy weight method

Authors
Ji Mao
Corresponding Author
Ji Mao
Available Online May 2016.
DOI
10.2991/wartia-16.2016.182How to use a DOI?
Keywords
Entropy weight method, Risk coefficient, Refugee migration
Abstract

The traditional optimal path is the shortest route, obviously, if condition of each path is different, this method has certain disadvantages. This paper presents a new method of selecting the optimal path with the background of refugee migration in the Middle East. the traditional optimal path is the shortest path variable the new method considers different factors of each path, and put forward a new index called the risk coefficient, RC, to describe danger degree of each path. And the article finally worked out the risk factors of the migration routes for refugees with the Matlab.

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 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.182
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.182How 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  - Ji Mao
PY  - 2016/05
DA  - 2016/05
TI  - An evaluation index of path quantization based on entropy weight method
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 862
EP  - 865
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.182
DO  - 10.2991/wartia-16.2016.182
ID  - Mao2016/05
ER  -