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Expert (Knowledge-Based) Systems for Disaster Management

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  • First Online:
Encyclopedia of Natural Hazards

Part of the book series: Encyclopedia of Earth Sciences Series ((EESS))

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Synonyms

Decision support systems (DSS); Information systems (IS)

Definition

Natural disaster: Serious disruption triggered by natural hazards (earthquakes, floods, droughts, landslides, volcanoes, tsunamis, wildfires, avalanches, storms, cyclones, and tornadoes) causing human, material, economic, or environmental losses which exceed the ability of those affected to cope (ISDR, 2004).

Disaster management: Systematic management of administrative decisions, organization, operational skills, and abilities to implement policies, strategies, and coping capacities of the society or individuals to lessen the impacts of natural and related environmental and technological hazards (ISDR, 2004).

Expert system: An intelligent computer program that uses knowledge and inferences procedures to solve problems that are difficult enough to require significant human expertise for their solution. The knowledge of an expert system consists of facts and heuristics. The “facts” constitute a body of...

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Bibliography

  • Ahmad, S., and Simonovic, S. P., 2001. Integration of heuristic knowledge with analytical tools for the selection of flood damage reduction measures. Canadian Journal of Civil Engineering, 28, 208–221.

    Article  Google Scholar 

  • Altay, N., and Green, W. G., 2006. OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475–493.

    Article  Google Scholar 

  • Baudrit, C., Dubois, D., and Fargier, H., 2004. Practical representation of incomplete probabilistic information. In Proceedings of 2nd International Conference on Soft Methodology and Random Information Systems, Oviedo, Spain.

    Google Scholar 

  • Bell, M. Z., 1985. Why experts systems fail. Journal of the Operational Research Society, 36(7), 613–619.

    Article  Google Scholar 

  • Ben Armor, S., and Martel, J. M., 2004. Le choix d’un langage de modélisation des imperfections de l'information en aide à la décision. In Proceedings of Congrès de l’ASAC, Québec, Canada.

    Google Scholar 

  • Berrais, A., 2005. A knowledge-based expert system for earthquake resistant design of reinforced concrete buildings. Expert Systems with Applications, 28, 519–530.

    Article  Google Scholar 

  • Booker, J. M., and McNamara, L. A., 2004. Solving black box computation problems using expert knowledge theory and methods. Reliability Engineering and System Safety, 85, 331–340.

    Article  Google Scholar 

  • Bossé, E., Roy, J., and Wark, S., 2007. Concepts, Models and Tools for Information Fusion. London, Boston: Artech House.

    Google Scholar 

  • Bouchon-Meunier, B., 1999. La Logique Floue. Paris: Presses Universitaires de France.

    Google Scholar 

  • Buisson, L., and Charlier, C., 1989. Avalanche starting-zone analysis by use of a knowledge-based system. Annals of Glaciology, 13, 27–30.

    Google Scholar 

  • Buisson, L., and Giraud, G., 1995. Two examples of expert knowledge based system for avalanche forecasting and protection. Surveys in Geophysics, 16, 603–619.

    Article  Google Scholar 

  • Chmelina, K., and Eichhorn, A., 2008. Applications of knowledge-based systems in technical surveying. Journal of Applied Geodesy, 2, 31–38.

    Article  Google Scholar 

  • Dempster, A. P., 1967. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38, 325–339.

    Article  Google Scholar 

  • Dubois, D., 2006. Possibility theory and statistical reasoning. Computational Statistics & Data Analysis, 51, 47–69.

    Article  Google Scholar 

  • FEMA (Federal Emergency Management Agency), 2010. Hazards U.S. Multi-Hazard (HAZUS-MH) (see http://www.fema.gov/plan/prevent/hazus/hz_overview.shtm).

  • Guha-Sapir, D., and Below, R., 2002. The quality and Accuracy of Disaster Data: A Comparative Analyses of Three Global Data Sets. Washington, DC: Provention Consortium, The Disaster Management Facility, The World Bank.

    Google Scholar 

  • Harmon, P., and King, D., 1985. Expert Systems. New-York: Wiley.

    Google Scholar 

  • International Strategy for Disaster Reduction (ISDR), 2004. Living with Risk: A Global Review of Disaster Reduction Initiatives. New York: ISDR Secretariat publication, United Nations.

    Google Scholar 

  • Mauris, G., Lasserre, V., and Foulloy, L., 2000. Fuzzy modeling of measurement data acquired from physical sensors. IEEE Transactions on Measurement and Instrumentation, 49, 1201–1205.

    Article  Google Scholar 

  • McClung, D. M., 1995. Use of expert knowledge in avalanche forecasting. Defence Science Journal, 45, 117–123.

    Article  Google Scholar 

  • Muthu, K., and Petrou, M., 2007. Landslide-hazard mapping using an expert system and a GIS. IEEE Transactions on Geoscience and Remote Sensing, 45, 522–531.

    Article  Google Scholar 

  • Naresh, P., and Pant, L. M., 1999. Knowledge-based system for forecasting snow avalanches of Chokibal-Tangdhar axis (J&K). Defence Science Journal, 49, 381–391.

    Article  Google Scholar 

  • Schweier, C., and Markus, M., 2009. Expert and information systems for techncal SAR measures and buildings’ state evaluation. Natural Hazards, 51, 525–542.

    Article  Google Scholar 

  • Shafer, G., 1976. A Mathematical Theory of Evidence. Chichester: Princeton University Press.

    Google Scholar 

  • Singh, D., and Ganju, A., 2008. Expert system for prediction of avalanches. Current Science, 94, 1076–1081.

    Google Scholar 

  • Smarandache, F., and Dezert, J., 2004–2009. Advances and Applications of DSmT for Information Fusion (Collected Works), Vol. 1–3. Rehoboth: American Research Press (see http://www.gallup.unm.edu/smarandache/DSmT.htm).

  • Syrmakezis, C. A., and Mikroudis, G. K., 1997. ERDES – An expert system for the aseismic design of building. Computers and Structures, 63, 669–684.

    Article  Google Scholar 

  • Tacnet, J. M., Batton-Hubert, M., and Dezert, J., 2009. Information fusion for natural hazards in mountains. In Dezert, J., and Smarandache, F. (eds.), Advances and Applications of DSmT for Information Fusion – Collected works. Rehoboth: American Research Press, Vol. 3, pp. 565–659.

    Google Scholar 

  • United Nations Development Programme (UNDP), 2004. A Global Report – Reducing Risk Disaster: A Challenge for Development. New-York: Bureau for Crisis Prevention and Recovery (see www.undp.or/bpcr).

  • Wallace, W. A., and De Balogh, F., 1985. Decision support systems for disaster management. Public Administration Review – Special Issue: Emergency management: A challenge for Public Administration, 45, 136–146.

    Google Scholar 

  • Woo, G., 1999. The Mathematics of Natural Catastrophes. London: Imperial College Press.

    Book  Google Scholar 

  • Zadeh, L., 1965. Fuzzy sets. Information and Control, 8, 338–353.

    Article  Google Scholar 

  • Zadeh, L., 1978. Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, 3–28.

    Article  Google Scholar 

  • Zischg, A., Fuchs, S., Keiler, M., and Meisi, G., 2005. Modelling the system behaviour of wet snow avalanches using an expert system approach for risk management on high alpine traffic roads. Natural Hazards and Earth System Sciences, 5, 821–832.

    Article  Google Scholar 

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Correspondence to Jean-Marc Tacnet .

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Tacnet, JM., Curt, C. (2013). Expert (Knowledge-Based) Systems for Disaster Management. In: Bobrowsky, P.T. (eds) Encyclopedia of Natural Hazards. Encyclopedia of Earth Sciences Series. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-4399-4_125

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