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