Abstract In order to probe the mechanism of human causation factors in ship navigation accidents effectively, the Reason-SHEL model was introduced to establish human causation factors index system meanwhile the multidimensional association rule algorithm was applied to obtain the chains of human causation factors. Firstly, the human factors index system is constructed based on the Reason-SHEL model. Secondly, the established human factors index system is used to analysis the cause of the accidents, and the initial accident data collection is obtained. The Reason model combined with classical association rules algorithm to design multidimensional association rule algorithm, then the designed algorithm and C# programming language is used to mine accident frequent itemsets of human factors until the larger frequent itemset can't be found. Then we get the human factors cause chain of ship accidents. The case study shows that the above research method is effective. The above research methods provide new theoretical and technical means for excavating the cause chain of ship accidents and preventing ship traffic accidents.

中文翻译：

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基于多维关联规则的船舶事故连锁人为因素研究

摘要 为有效探究船舶航行事故中人为因素的作用机制，引入Reason-SHEL模型建立人为因素指标体系，同时应用多维关联规则算法获取人为因素链。首先，基于Reason-SHEL模型构建人因指标体系。其次，利用建立的人为因素指标体系对事故原因进行分析，得到初步的事故数据收集。Reason模型结合经典关联规则算法设计多维关联规则算法，然后利用设计的算法和C#编程语言挖掘人为因素的事故频繁项集，直到找不到较大的频繁项集。进而得出导致船舶事故链的人为因素。案例研究表明，上述研究方法是有效的。上述研究方法为挖掘船舶事故原因链、预防船舶交通事故提供了新的理论和技术手段。