The high-time urgency of emergency decision-making for maritime hazardous chemicals accidents requires the content and form of this knowledge to be organized in a way that facilitates decision-makers to resolve crises in a timely and creative manner. This paper proposes a CIA-ISM-based method for extracting the elements of maritime hazardous chemicals accidents, establishes a knowledge model for emergency rescue of maritime hazardous chemicals accidents, provides a more standardized and unified description of the knowledge relied on in the decision-making process of the emergency rescue of maritime hazardous chemicals accidents, further organizes the content and form of emergency rescue, and integrates the existing information advantages into decision-making advantages.


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    Titel :

    Knowledge Modeling for Emergency Rescue of Maritime Hazardous Chemicals Accident


    Weitere Titelangaben:

    Atlantis Highlights in Engineering


    Beteiligte:
    Rauf, Abdul (Herausgeber:in) / Zakuan, Norhayati (Herausgeber:in) / Sohail, Muhammad Tayyab (Herausgeber:in) / Azmi, Ruzita (Herausgeber:in) / Li, Cheng (Autor:in) / He, Jing (Autor:in) / Sun, Ziteng (Autor:in)

    Kongress:

    International Conference on Management Science and Software Engineering ; 2023 ; Qingdao, China July 21, 2023 - July 23, 2023



    Erscheinungsdatum :

    06.10.2023


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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