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Effectiveness assessment of ship navigation safety countermeasures using fuzzy cognitive maps

机译:模糊认知地图船舶导航安全对策的有效性评估

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The fuzzy cognitive map method is adopted to construct the systematic mapping relationship between ship navigational risk factors and safety level for assessing the effectiveness of ship navigation safety countermeasures. The proposed approach integrates fuzzy inference system and evidential reasoning to convert initial input values of variables and obtain the strength of interconnections, respectively. Non-linear Hebbian learning algorithm is employed to refine the model. The constructed model is then applied with an illustrative case study associated with the middle stream region of the Yangtze river, where the current safety situation and several scenarios for improving navigational safety in the future are evaluated. The logicality and robustness constructed model and the assessing results are validated by applying sensitivity analysis. Through this research, it is found that the proposed method has the characteristics of high efficiency, lightweight and stability, which simulates the safety dynamics of the ship navigational system intuitively like the mode of natural thinking. This work provides an alternative for the shipping safety decision maker to understand the navigation safety status and control the evolving trend of it for a foreseeable period.
机译:采用模糊认知地图方法来构建船舶导航风险因素与安全水平之间的系统映射关系,以评估船舶导航安全对策的有效性。该方法的方法集成了模糊推理系统和证据推理,以转换变量的初始输入值并分别获得互连的强度。采用非线性Hebbian学习算法来改进模型。然后,将构建的模型应用于与长江的中间物流区域相关的说明性案例研究,其中评估了当前安全情况和用于改善未来导航安全的若干方案。通过应用敏感性分析,验证了逻辑性和鲁棒性构造模型和评估结果。通过这项研究,发现该方法具有高效率,轻质和稳定性的特点,这对船舶导航系统的安全动态直观地模拟了自然思维方式。这项工作为航运安全决策者提供了替代方案,以了解导航安全状态,并控制可预见期限的不断发展趋势。

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