Aim to solve the problem that the qualitative and quantitative the influencing factors of ship navigation safety is to be difficult to merger analysis, due to the large amount of calculation and complicated realization process of ship collision risk model, the strategy of risk degree of ship collision evaluation based on the cloud model theory is introduced, the data of cloud model of DCPA (Distance to closed point of approach), TCPA (Time to closest point of approach) and CRI (Collision Risk Level) is formed to reasoning risk degree of ship collision based on double conditional single rule generator. According to the different ship encounter situation, the order is sorted on the collision risk degree between own and target ship by the cloud modeling inference mechanism. Thus, the availability and feasibility of this algorithm are verified in ship collision risk modeling. The establishment of this model enables the crew members to determine the key collision avoidance objects in time, to reduce or avoid the occurrence of collision accidents at the source.


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    Titel :

    Evaluation Modeling Establishment for the Risk Degree of Ship Collision


    Weitere Titelangaben:

    Advs in Intelligent Syst., Computing


    Beteiligte:
    Sugumaran, Vijayan (Herausgeber:in) / Xu, Zheng (Herausgeber:in) / Zhou, Huiyu (Herausgeber:in) / Liu, Hongdan (Autor:in) / Sun, Yue (Autor:in) / Li, Bing (Autor:in)

    Kongress:

    International Conference on Application of Intelligent Systems in Multi-modal Information Analytics ; 2020 ; Changzhou, China March 05, 2020 - March 06, 2020



    Erscheinungsdatum :

    24.07.2020


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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