DocumentCode :
2437179
Title :
The Agile Team Learning in Unconventional Emergency Decision-making
Author :
Kefan, Xie ; Qian, Wu
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
7-9 May 2010
Firstpage :
1579
Lastpage :
1583
Abstract :
The paper discusses the agile learning of decision-making team in the situation of unconventional emergency. The paper proposes a research thinking of agile team learning based on the scenario analysis & rough set mode (R-S mode), in order to find an efficient analysis method to the team learning in unconventional emergency decision-making. The paper analyzes the characteristics of agile team learning in unconventional emergency decision-making, establishes the frame of agile team learning, and puts forward the scenario analysis & rough set mode (R-S mode). At last the paper takes the snow disaster in South China in 2008 for example and discusses the agile learning process of the snow disaster.
Keywords :
decision making; disasters; emergency services; rough set theory; team working; agile team learning; decision-making team; rough set mode; scenario analysis; snow disaster; unconventional emergency decision-making; Agile manufacturing; Decision making; Explosives; Learning systems; Libraries; Organizations; Snow; Scenario analysis & Rough set mode; agile team learning; decision-making; unconventional emergency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
Type :
conf
DOI :
10.1109/ICEE.2010.400
Filename :
5592708
Link To Document :
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