Abstract
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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Acknowledgment
It is appreciated that this research is supported by Fundamental Research Funds for the Central Universities 3072019CF0406, 3072019CF0407.
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Liu, H., Sun, Y., Li, B. (2021). Evaluation Modeling Establishment for the Risk Degree of Ship Collision. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_9
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DOI: https://doi.org/10.1007/978-3-030-51431-0_9
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