摘要
以节约集装箱船舶货物运输的时间成本为目标,提出基于模糊证据推理的集装箱船舶货物运输路径选择方法。计算集装箱船舶货物运输运营成本,根据运营成本构建集装箱船舶运输路径模糊子集。将该模糊子集输入基于模糊证据推理的集装箱船舶货物运输路径选择模型中,获取船舶运输路径风险因子。通过构建模糊置信选择矩阵和去模糊化,得到集装箱船舶航行路径置信选择矩阵,利用该矩阵获取集装箱船舶货物运输路径选择结果。实验结果表明,该方法的集装箱船舶航行运营成本计算误差极小,可有效选取最适合船舶的运输路径,并可降低集装箱船舶运输时间成本。
In order to save the time cost of container ship cargo transportation, a method of container ship cargo transportation route selection based on fuzzy evidential reasoning is proposed. Calculate the operation cost of container ship cargo transportation, construct a fuzzy subset of container ship transportation path according to the operation cost, input the fuzzy subset into the container ship cargo transportation path selection model based on Fuzzy evidential reasoning, obtain the ship transportation path risk factor, and obtain the container ship navigation path confidence selection matrix by constructing the fuzzy confidence selection matrix and defuzzifying, Using this matrix, we can get the result of cargo transportation route selection of container ships. The experimental results show that the calculation error of the shipping operation cost of container ships based on this method is very small, which can effectively select the most suitable shipping route and reduce the shipping time cost of container ships.
作者
王威
WANG Wei(Jiangsu Shipping College,Nantong 226010,China)
出处
《舰船科学技术》
北大核心
2022年第16期143-146,共4页
Ship Science and Technology
关键词
模糊证据推理
集装箱船舶
货物运输
路径选择
时间成本
fuzzy evidential reasoning
container ships
transportation of goods
route selection
time cost
