A certainty model and appropriate visualization techniques are presented which are applied in a newly developed Decision Support System (DSS) for tsunami early warning deployed in Jakarta, Indonesia. Our decision support approach makes use of multi-sensor fusion and pre-computed tsunami scenario simulations to create situational awareness as basis for reasonable early warning. As the Indonesian coastline is prone to near-field tsunami scenarios decision making must take place under time-critical conditions based on incomplete and uncertain information. In order to reduce the probability and the consequences of a false decision, we have developed and employed a certainty model which implies a classification of imperfect information suitable for the tsunami early warning domain and the quantification of imperfect data. The model is mapped onto and supported by appropriate visual representations. © 2011 Springer-Verlag.
CITATION STYLE
Friedemann, M., Raape, U., Tessmann, S., Schoeckel, T., & Strobl, C. (2011). Explicit modeling and visualization of imperfect information in the context of decision support for tsunami early warning in Indonesia. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6771 LNCS, pp. 201–210). https://doi.org/10.1007/978-3-642-21793-7_24
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