DocumentCode :
1835907
Title :
The State Trend Monitoring Model of Emergency Response Process in Unconventional Emergency
Author :
Lei Chen ; Yunhua Wang ; Yu Liu ; Shihong Chen
Author_Institution :
Sch. of Comput., Wuhan Univ., Wuhan, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
249
Lastpage :
254
Abstract :
In the process of unconventional emergency management, undoubtedly, grasping the real-time change of event harmfulness and the evolution trend can help decision-making and disposal. A computable event state trend monitoring model ESMM is proposed. Based on the real-time scenario in the process of the outbreak, disposal and recovery of event, the model extracts the information related to event harmfulness and judges the evolutionary trend of event by real-time evaluating the change of harmfulness of event disposal sequence and the difference between the decision-making goals and the actuality. The experiments show ESMM is operable model change and trend monitoring of real-time assessment of event harmfulness.
Keywords :
decision making; emergency management; ESMM; decision-making goals; emergency response process; event disposal sequence; event harmfulness; event outbreak; event recovery; event state trend monitoring model; evolution trend; real-time assessment; unconventional emergency management; Computational modeling; Decision making; Educational institutions; Emergency services; Market research; Monitoring; Real-time systems; event harmfulness; scenario information pool; state trend monitoring; unconventional emergency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.207
Filename :
6642735
Link To Document :
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