Using Ambient Intelligence for Disaster Management (original) (raw)

Abstract

This paper presents an architecture to help the decision-making process of disaster managers. Here we focus on a core aspect of this process which is taking decisions in the presence of conflicting options. We exemplify this problem with three simple scenarios related to diverse contexts and provide an explanation on how our system will advice in all these cases.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, University of Ulster at Jordanstown, UK
    Juan Carlos Augusto, Jun Liu & Liming Chen

Authors

  1. Juan Carlos Augusto
  2. Jun Liu
  3. Liming Chen

Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK
    Bogdan Gabrys
  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK
    Robert J. Howlett
  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, SA, 5095, Mawson Lakes, Australia
    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Augusto, J.C., Liu, J., Chen, L. (2006). Using Ambient Intelligence for Disaster Management. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004\_22

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