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首页> 外文期刊>International Journal of Computer Systems Science & Engineering >Towards risk evaluation algorithm of PSC ship-selecting system based on hierarchic analysis and grey integrated clustering method
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Towards risk evaluation algorithm of PSC ship-selecting system based on hierarchic analysis and grey integrated clustering method

机译：基于层次分析和灰色集成聚类的PSC选船系统风险评估算法

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摘要

ParisMOU NIR (New Inspection Regime) of latest PSC rules of 2009/16/EC still has some limitation in risk evaluation, due to the nonscientific means defined. In this paper we proposed a more scientific and rapid target factor selecting and risk evaluation model based on hierarchic analysis and grey integrated clustering method. The scheme combine the grey clustering method and grey clustering decision method, as well as hierarchic analysis method to realize ship risk evaluation. The instance results show that the algorithm serves to do rapid ship classification defined by scale. Furthermore, it could achieve sorting within one scale, and the accuracy is 100%. The algorithm is very suitable for limited inspect resource to do rapid ship classification, which is has certain practical value for PSC targeting.
机译：2009/16 / EC的最新PSC规则的ParisMOU NIR（新检查制度）由于定义的方法不科学，在风险评估方面仍存在一些局限性。本文提出了一种基于层次分析和灰色综合聚类的更加科学，快速的目标因子选择和风险评估模型。该方案结合了灰色聚类法和灰色聚类决策法以及层次分析法，实现了船舶风险评估。实例结果表明，该算法可用于按比例尺定义的快速船舶分类。此外，它可以在一个范围内实现分类，并且准确性为100％。该算法非常适合有限的检查资源进行快速的船舶分类，对PSC瞄准具有一定的实用价值。

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