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
Link To Document :
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