Entropy weights model is suitable for the situation that the index attribute weights are unknown and attribute values are available. It will be introduced to reduce the influence of subjective factors.
对数据进行了无量纲化处理,使各种资源具有可加性和可比性,并引入属性权重完全未知且属性值已知的评价方法——熵值法对属性赋权,减少了主观因素对各指标相对重要程度的影响。
参考来源 - 省际自然资源总丰度评价研究·2,447,543篇论文数据，部分数据来源于NoteExpress
A combination interpolation model is constructed by the results of the two models, The weights of the combination model are obtained by information entropy.
在此基础上建立面板数据插值的线性组合模型，提出空间漂移度法确定组合插值模型的加权系数。
On the basis of the establishing evaluation index of the forecasting method, the information entropy was used to determine the weights in the optimal combination forecasting model.
该方法能处理预测中的不确定性因素，同时综合考虑了各种方法的特点以及预测过程中预测人员主观因素的影响，较为符合舰船装备建造费预测的实际情况。
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