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.
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