Proceedings of the 2012 National Conference on Information Technology and Computer Science

Assessment of Meteorological Disaster Emergency Management Capability Used Information Entropy Theory

Authors
Weiying Li, Shuxia Jiang
Corresponding Author
Weiying Li
Available Online November 2012.
DOI
10.2991/citcs.2012.199How to use a DOI?
Keywords
meteorological disaster; emergency management capability; information entrop
Abstract

In recent years, Meteorological disasters are frequently occurred, which bring tremendous suffering to people's lives and property. Meteorological emergence management capability appraisal is a system engineering which involved many factors, This paper design a multi-index appraisal system, built an emergency response capability assessment index system, gave a method to quantitatively describe Assessment on Meteorological disaster emergency management capability. Established an appraisal model based on unascertained theory, and sets up the weight of classification index by information entropy, more valuable to application.

Copyright
© 2012, 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 2012 National Conference on Information Technology and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
November 2012
ISBN
978-94-91216-39-8
ISSN
1951-6851
DOI
10.2991/citcs.2012.199How to use a DOI?
Copyright
© 2012, 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  - Weiying Li
AU  - Shuxia Jiang
PY  - 2012/11
DA  - 2012/11
TI  - Assessment of Meteorological Disaster Emergency Management Capability Used Information Entropy Theory
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 784
EP  - 788
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.199
DO  - 10.2991/citcs.2012.199
ID  - Li2012/11
ER  -