DocumentCode
2020962
Title
Integrate Computational Models in IDSS for Emergency Management
Author
Tao, CHEN ; Yong, YUAN Hong ; Guo-feng, SU
Author_Institution
Dept. of Eng. Phys., Tsinghua Univ., Beijing
Volume
1
fYear
2008
fDate
17-18 Oct. 2008
Firstpage
286
Lastpage
289
Abstract
This paper presents a method to integrate computational models in emergency intelligent decision support system (IDSS) for more scientific and effective loss prevention and disaster manipulation. Various computational models that support disaster evolution forecast, impact analysis on infrastructure and human as well as rescue actions are integrated in this IDSS. Moreover, the pertinency between original disaster and secondary disasters are modeled using disaster chain theory. To achieve effective emergency response, not only should we react to the original disaster in a comprehensive way, but also prepare for and control various secondary disasters according to its disaster chain. With the integration of computational models involved in emergency management, the IDSS is capable of providing sequential analysis of emergency situations and presenting suggestions on preparing against the next possible disaster in advance.
Keywords
decision support systems; disasters; emergency services; knowledge based systems; disaster chain theory; disaster manipulation; emergency intelligent decision support system; emergency management; loss prevention; sequential analysis; Chemical analysis; Competitive intelligence; Computational intelligence; Computational modeling; Decision support systems; Disaster management; Humans; Intelligent systems; Physics computing; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3311-7
Type
conf
DOI
10.1109/ISCID.2008.103
Filename
4725610
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