中文摘要：

为了对能见度良好时影响船舶领域因素的重要性进行评价并进行因素约简,降低船舶领域模型的复杂度,本文选择主成分回归算法和基于粗糙集算法对其进行分析。利用主成分回归算法得到了影响船舶领域的因素的重要度;利用基于粗糙集算法得到了影响船舶领域因素的约简集与因素重要度。对两种方法得到的结果进行比较,确定了影响船舶领域因素的重要性。结果表明,船舶大小、船舶类型、船舶速度、会遇角度、密度和驾驶员级别较重要,风、浪、流、能见度的重要度次之,且风、浪、流对船舶领域的影响可以忽略。

英文摘要：

To evaluate the significance of influencing factors in the ship domain and then reduce factors,the com-plexity of the study of ship domain was reduced. The principal component regression algorithm and the algorithm based on rough sets were selected to perform the analysis. The principal component regression algorithm and the al-gorithm based on rough sets were used to obtain the significance degrees of the factors of the ship domain. The cor-relation algorithm based on rough sets was also used to obtain the reduction set. Then,the significance of the factors was obtained by comparing the results of the two methods. Results show that the size, type, speed,encounter an-gle , density,and the level of the navigators are the most important factors. Wind, wave, flow,and visibility are less important factors, and the effect of wind, waves, and flow can be ignored.