Abstract
As the world becomes more and more interconnected and complex, the emergent events, such as terrorist acts, infectious diseases and natural disasters challenge the rapid response ability of the public and the governments more and more. In general, emergency responses always involve so many complex problems that it beyond the decision capacity of a single person or organization. To meet this challenge, some new approaches of decision support for emergency responses need to be discovered. In this paper, a framework of this type of system, CWME, is introduced. It’s based on the theories for Open Complex Giant Systems[1]. The key point of this system is to synthesize the intelligence of experts, the high performance of computers and data, information to understand the problems comprehensively and to make better decisions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tsein, T.S., Dai, R.W., Yu, J.Y.: A New Scientific Field: Open Complex Giant Systems and Its Methodology. Ziran Zazhi 13(1), 3–10 (1990)
Dai, R.W., Li, Y.D.: Researches on Hall for Workshop of Meta-synthetic Engineering and System Complexity. Complex Systems and Complex Science 1(4), 1–24 (2004)
Chen, H., Wang, F.-Y.: Artificial Intelligence for Homeland Security. IEEE Intelligent Systems 20(5), 12–16 (2005)
Yao, Y.Y., Wang, F.-Y., Wang, J., Zeng, D.: Rule + Exception Strategies for Security Information Analysis. IEEE Intelligent Systems 20(5), 52–57 (2005)
Chen, H., Wang, F.-Y., Zeng, D.: Intelligence and Security informatics for Homeland Security: Information, Communication and Transportation. IEEE Trans. Intelligent Transportation Systems 5(4), 329–341 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, Y., He, H., Xiao, B., Wang, C., Wang, F. (2006). CWME: A Framework of Group Support System for Emergency Responses. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_99
Download citation
DOI: https://doi.org/10.1007/11760146_99
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34478-0
Online ISBN: 978-3-540-34479-7
eBook Packages: Computer ScienceComputer Science (R0)