Artificial Intelligence Applications for Risk Analysis, Risk Prediction and Decision Making in Disaster Recovery Planning

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    1 Citation (Scopus)

    Abstract

    Development and management of disaster recovery plan for IT systems are complex, demanding, and yet crucial to an organization success and its competitive position in the marketplace. Due to rapid changes in emerging technologies there is a need for constant improvement and adjustment to disaster recovery plans for IT systems. There are a large number of processes involved in disaster recovery planning for IT system. The interdependencies of these processes make it very difficult for Chief Information Officers (CIOs) to comprehend and be aware of effect of inefficiencies that may exist in development of these processes in the disaster recovery plan of their organization. This paper considers the implementation of a Fuzzy Cognitive Maps (FCM) to provide facilities to capture and represent complex relationships in implementing a disaster recovery plan for IT systems and their related processes to improve the understanding of CIOs about the systems and its associated risks
    Original languageEnglish
    Title of host publicationInternational Conference on Artificial Intelligence Applications and Innovations
    EditorsLazaros lliadis, llias Maglogiannis, Harris Papadopoulos
    Place of PublicationUK
    PublisherSpringer
    Pages155-165
    Number of pages11
    Volume382
    ISBN (Print)9783642334085
    DOIs
    Publication statusPublished - 2012
    EventInternational Conference on Artificial Intelligence Applications and Innovations - Halkidiki, Halkidiki, Greece
    Duration: 27 Sep 201230 Sep 2012

    Conference

    ConferenceInternational Conference on Artificial Intelligence Applications and Innovations
    CountryGreece
    CityHalkidiki
    Period27/09/1230/09/12

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  • Cite this

    Mohammadian, M. (2012). Artificial Intelligence Applications for Risk Analysis, Risk Prediction and Decision Making in Disaster Recovery Planning. In L. lliadis, L. Maglogiannis, & H. Papadopoulos (Eds.), International Conference on Artificial Intelligence Applications and Innovations (Vol. 382, pp. 155-165). Springer. https://doi.org/10.1007/978-3-642-33412-2_16