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Grey Synthetic Degree of Incidence Entropy and Its Application in Traffic Accidents Analysis

机译:灰色综合关联度熵及其在交通事故分析中的应用

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摘要

According to the limitations which are found in the calculation about the important degree of attributes, this paper draws on the idea of grey relational entropy to combine grey relational grade with general information entropy and, by making use of the principle of entropy, to analyze the importance degree of attribute, thus presenting a new data analysis method. Finally, we analyze the traffic accidents in a place of North-east China with it. Grey synthetic degree of incidence entropy in this paper can not only play an important role in traffic accidents analysis, but also can be used in other social science fields.
机译:根据属性重要程度计算中的局限性,本文借鉴灰色关联熵的思想,将灰色关联度与一般信息熵结合起来,并利用熵的原理,对灰色关联度进行了分析。属性的重要性程度,从而提出了一种新的数据分析方法。最后,我们用它来分析东北某地方的交通事故。灰色关联度熵的合成不仅可以在交通事故分析中发挥重要作用,而且可以用于其他社会科学领域。

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