Abstract
With the development of information technology, internet has become a popular term and internet emergency has an intensive influence on people’s life. This article offers a short history of internet emergency management. It discusses the definition, characteristics, and factor of internet emergency management. A group decision-making mechanism of internet emergency is presented based on the discussion. The authors establish a so-called Rough Set Scenario Flow Graphs (RSSFG) of group decision-making mechanism of internet emergency management and make an empirical analysis based on the RSSFG approach. The experimental results confirm that this approach is effective in internet emergency decision-making.
This research is supported by National Natural Science Foundation of China, project No. 90924010.
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References
Zhang, G., Ma, J., Lu, J.: Emergency Management Evaluation by a Fuzzy Multi-criteria Group Decision Support System. Stochastic Environmental Research and Risk Assessment 23(4), 517–527 (2009)
Rake, L.: Emergency Management and Decision Making on Accident Scenes: Taxonomy, Models and Future Research. International Journal of Emergency Management 1(4), 397–409 (2003)
Xiao, Z., Wen, D., Na, P.: Study on the Mode of Social Emergency Early Warning Management based on Grid. In: Proceedings of 2007 International Conference on Management Science and Engineering, pp. 2463–2468 (2008)
Pan, T., Hong, W., Wei, Z.: Decision Making based on Emergency Plan Templates. In: Yu, W., He, H., Zhang, N. (eds.) ISNN 2009. LNCS, vol. 5551, pp. 1181–1190. Springer, Heidelberg (2009)
Green, W.: E-emergency Management in the USA: A Preliminary Survey of the Operational State of the Art. International Journal of Emergency Management 1(1), 70–81 (2003)
Crichton, M., Flin, R.: Training for Emergency Management: Tactical Decision Games. Journal of Hazardous Materials 88(1), 255–266 (2001)
Joshi, M., Mansata, A., Talauliker, S., Beard, C.: Design and Analysis of Multi-level Active Queue Management Mechanisms for Emergency Traffic. Computer Communications 28(2), 162–173 (2005)
Sheu, J.: Dynamic Relief-demand Management for Emergency Logistics Operations under Large-scale Disasters. Transportation Research Part E: Logistics and Transportation Review 46(1), 1–17 (2010)
Pawlak, Z.: Flow Graphs and Decision Algorithms. In: The Ninth International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, pp. 2463–2468 (2003)
Kahn, H., Wiener, A.: The Year 2000. MacMillan, New York (1967)
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Xie, K., Chen, G., Qian, W., Shi, Z. (2010). Research on Group Decision-Making Mechanism of Internet Emergency Management. In: Zaman, M., Liang, Y., Siddiqui, S.M., Wang, T., Liu, V., Lu, C. (eds) E-business Technology and Strategy. CETS 2010. Communications in Computer and Information Science, vol 113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16397-5_1
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DOI: https://doi.org/10.1007/978-3-642-16397-5_1
Publisher Name: Springer, Berlin, Heidelberg
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