Abstract
In the context of the CRISMA FP7 project we have developed a seamless decision support concept to connect simulated crisis scenarios and aggregated performance indicators of impact scenarios with state of the art Multi-Criteria Decision Analysis (MCDA) methods. To prove the practicality of the approach we have developed a decision support tool realising the important aspects of the method. The tool is a highly interactive and user-friendly decision support system (DSS) that effectively helps the decision maker and strategic planner to perform multi-criteria ranking of scenarios. The tool is based on state-of-the-art web technologies.
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Zuccaro, G., Cacace, F.: Seismic Casualty Evaluation: The Italian Model, an Application to the L’Aquila 2009 Event, Human Casualties in Earthquakes Advances in Natural and Technological Hazards Research, vol. 29, pp. 171–184 (December 8, 2010)
Engelbach, W., Frings, S., Molarius, R., Aubrecht, C., Meriste, M., Perrels, A.: Indicators to compare simulated crisis management strategies. In: 5th International Disaster and Risk Conference IDRC Davos (2014)
Business Measures-Modes and Key Performance Indicators, http://publib.boulder.ibm.com/infocenter/dmndhelp/v6rxmx/index.jsp?topic=/com.ibm.btools.help.modeler.bmeasures.doc/doc/concepts/measures/kpis.html
Zygowicz, W.: Key Performance Indicators in EMS, http://www.usfa.fema.gov/pdf/efop/efo44984.pdf
Garey, M.R., Johnson, D.S.: Computers and Intractability; A Guide to the Theory of NP-Completeness. W. H. Freeman & Co., New York ©1990ISBN:0716710455
Yager, R.R.: On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Transactions on Systems, Man and Cybernetics 18(1), 183–190 (1988)
Heikkilä, A.-M., Molarius, R., Rosqvist, T., Perrels, A.: Minimising the outcome of disasters by simulating the effects of different actions. In: The Second Nordic International Conference on Climate Change Adaptation, pp. 29–31 (August 2012)
Steuer, R.E.: Multiple Criteria Optimization: Theory, Computation and Application. John Wiley, New York (1986)
Dujmović, J.: Properties of Local Andness/Orness. In: Castillo, O., Melin, P., Ross, O.M., Cruz, R.S., Pedrycz, W., Kacprzyk, J. (eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. AISC, vol. 42, pp. 54–63. Springer, Heidelberg (2007)
Yager, R.R.: Quantifier guided aggregation using OWA operators. International Journal of Intelligent Systems, 11–49 (1996)
Zuccaro, G., Filomena, P.: Multi-criteria analysis in vulnerability assessment. Second Egyptian Conference on Earthquake Engineering, Aswan, Egypt (1997)
Dihé, P., Denzer, R., Polese, M., Heikkilä, A., Havlik, D., Sautter, J., Hell, T., Schlobinski, S., Zuccaro, G., Engelbach, W.: An architecture for integrated crisis management simulation. In: 20th International Congress on Modelling and Simulation (MODSIM 2013), Adelaide, South Australia, December 1-6 (2013)
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Schlobinski, S. et al. (2015). Decision Making and Strategic Planning for Disaster Preparedness with a Multi-Criteria-Analysis Decision Support System. In: Denzer, R., Argent, R.M., Schimak, G., Hřebíček, J. (eds) Environmental Software Systems. Infrastructures, Services and Applications. ISESS 2015. IFIP Advances in Information and Communication Technology, vol 448. Springer, Cham. https://doi.org/10.1007/978-3-319-15994-2_17
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DOI: https://doi.org/10.1007/978-3-319-15994-2_17
Publisher Name: Springer, Cham
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