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Intelligent Decision Support for Unconventional Emergencies

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Exploring Intelligent Decision Support Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 764))

Abstract

This chapter is a conceptual writing speaking about various Decision Support Systems (DSS) available for emergency management and provides a new perspective that is based on the best practices for developing a DSS. There is a requirement of creating citywide situational awareness and its emergency management, which helps its various users, designated as experts in disaster management and city personnel/planners in taking prompt decision in the state of various emergencies. This chapter focuses upon effective and efficient storage, analysis and processing of emergency information, safety plans and resources; and applying an integrated approach of rule base reasoning and case base reasoning to generate the recommendations in case of emergency along with proper justification; hence minimizing the loss of life and property. An ontology representation scheme has been used to represent human knowledge and reason with it. The actions/recommendations are determined based on the historical data (case base) and actions taken, with its real-time synthesis; and validated through the use of existing rules (rule base).

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Notes

  1. 1.

    Honeywell: https://instantalert.honeywell.com/.

  2. 2.

    MissionMode: http://www.missionmode.com.

  3. 3.

    Command Caller: http://www.voicetech.com/Command_Caller_40.htm.

  4. 4.

    RapidReach: http://www.rapidreach.com/.

  5. 5.

    Sahana: http://www.sahana.lk/.

  6. 6.

    Arce: https://arce.dei.inf.uc3m.es/arce_demo/.

  7. 7.

    AlertFind: http://www.messageone.com/crisis-communications/.

  8. 8.

    Sigame: http://www.sigame.es/.

  9. 9.

    http://ensemble2.jrc.ec.europa.eu/Web.

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Authors and Affiliations

  1. Department of Computer Applications, National Institute of Technology, Kurukshetra, 136119, Haryana, India

    Sarika Jain

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  1. Sarika Jain
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Correspondence to Sarika Jain .

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Editors and Affiliations

  1. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Rafael Valencia-García

  2. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    Mario Andrés Paredes-Valverde

  3. Departamento de Informática y Sistemas, Facultad de Informática, Universidad de Murcia, Murcia, Spain

    María del Pilar Salas-Zárate

  4. Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Orizaba, Veracruz, Mexico

    Giner Alor-Hernández

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Jain, S. (2018). Intelligent Decision Support for Unconventional Emergencies. In: Valencia-García, R., Paredes-Valverde, M., Salas-Zárate, M., Alor-Hernández, G. (eds) Exploring Intelligent Decision Support Systems. Studies in Computational Intelligence, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-74002-7_10

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  • DOI: https://doi.org/10.1007/978-3-319-74002-7_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74001-0

  • Online ISBN: 978-3-319-74002-7

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