This paper describes a Multi-Criteria-Analysis (MCA)-based Decision Support System (DSS) developed for the management of incidents in maritime traffic. The developed DSS helps to organise a large quantity of information related to emergency management, spatial data and "live" data (radar data, weather forecasting data), to make it available to decision makers in a comprehensible and user-friendly way. Special care has been taken to model human Decision-Making (DM) processes during incident situations. Since the DM process is always multi-criterial, a Multi-Criteria Decision-Making (MCDM) method called Preference Ranking Organisation Method for Enrichment Evaluations (PROMETHEE) is used. However, a simplified variation of PROMETHEE II has been utilised to make results more understandable to non-expert users. The aim of this research is to incorporate effective DSS in human DM processes, thus reducing the possibility of making poor decisions. The concept of Web MCA-based DSS is presented as a case study: Web DSS developed for the east coast of the Adriatic Sea.


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    Titel :

    Web MCA-based Decision Support System for Incident Situations in Maritime Traffic: Case Study of Adriatic Sea



    Erschienen in:

    Erscheinungsdatum :

    2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.86 Schiffsverkehr, Schifffahrt / 53.84 Ortungstechnik, Radartechnik / 42.89 Zoologie: Sonstiges / 55.54 Flugführung / 42.89 / 53.84 / 55.20 / 55.86 / 55.20 Straßenfahrzeugtechnik / 55.44 Schiffsführung / 55.54 / 55.44
    Lokalklassifikation TIB:    275/5680/7035



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