Abstract
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.
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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: Smith, M.J., Salvendy, G. (eds) Human Interface and the Management of Information. Interacting with Information. Human Interface 2011. Lecture Notes in Computer Science, vol 6771. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21793-7_24
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DOI: https://doi.org/10.1007/978-3-642-21793-7_24
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