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

Application of Grey Relational Analysis in Emergency Decision System

Authors
Yong Wang, Jun Wang
Corresponding Author
Yong Wang
Available Online May 2016.
DOI
10.2991/wartia-16.2016.93How to use a DOI?
Keywords
gray correlation analysis method, emergency decision system, effect evaluation vector, grey incidence matrix.
Abstract

The gray of the emergency command system includes randomness and fuzziness, as well as other kinds of certainty, uncertainty and incomplete. This paper aims to solve the optimal emergency plan and using the gray correlation analysis method to analyze the data of the emergency index of the emergency decision system. First, through the definition of the gray correlation analysis method to calculate the best effect evaluation vector of each emergency response sequence. Then the system grey incidence matrix is established to calculate the weight value of each index. Finally, the effect grade of grey correlation degree and emergency plan is obtained by calculating and determining the best emergency plan, which is more objective and reasonable to exert the decision-making function of the emergency decision system.

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
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.93How 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  - Yong Wang
AU  - Jun Wang
PY  - 2016/05
DA  - 2016/05
TI  - Application of Grey Relational Analysis in Emergency Decision System
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 464
EP  - 467
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.93
DO  - 10.2991/wartia-16.2016.93
ID  - Wang2016/05
ER  -