建立了道路路况评价的属性识别模型，运用熵值法确定指标权重，避免了定权的主观随意性，提高了评价模型的可信度。
The attribute recognition model of road states evaluation was discussed, and the power weight was worked out with the entropy method, which reduced the subjectivity, improved the reliability.
并采用熵值法对组合模型的权系数进行求解，实证分析表明该模型使预测精度得到了明显提高，具有良好的预测效果。
The entropy method is adopted to obtain the weight coefficient of the combination model, and analysis of the example result shows that this new model significantly improves the forecasting precision.
通过层次分析法与熵值法相结合的主客观赋权组合评价方法，对其指标权重进行了计算。
Index weight was calculated through combination weighting approach of subjective and objective evaluation method of analytic hierarchy process and entropy method combination.
针对主、客观赋权法的优缺点，结合层次分析法和熵值法两种方法对指标进行组合赋权。
Compared the subjective and the objective weight-deciding method's virtue and disadvantage, we decide the weight of every index by using AHP and entropy combinational method.
通过引进目标差值率法及熵权法可对密切值法进行改进。
The target dispersion rate is introduced in this paper and the osculating value method is mended.
然后与客观赋权法中的熵值法进行综合优化，求得评价指标的组合权重；
Then the synthesis optimization process is carried out with entropy value method of the objective weight method to obtain the combination weight of the evaluation indexes;
然后与客观赋权法中的熵值法进行综合优化，求得评价指标的组合权重；
Then the synthesis optimization process is carried out with entropy value method of the objective weight method to obtain the combination weight of the evaluation indexes;
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