在根据网络学习的特点、建立网络学习评价系统指标体系的基础上，提出利用模糊熵理论评价网络学习效果的模型。

该模型通过熵权法对各评价指标权重进行修正得到客观权重值，并与主观权重结合计算出综合权重，然后利用模糊理论进

行处理得到综合评价值，改善了传统评价方法主观因素影响过多的弊端，提高了评价结果的可信度，并实验验证了该方法

的可行性和正确性，确保了网络学习评价公平公正地进行。-In accordance with the characteristics of learning, networking learning evaluation system based on the index system is proposed using fuzzy entropy evaluation of network learning models. The model entropy method for the evaluation index weights amendment is objective weights, and with the subjective weights combined to calculate the overall weight, and then use fuzzy theory to handle any comprehensive evaluation, to improve the traditional evaluation of subjective factors, too much defects and improve the credibility of evaluation results, and experimental verification of the feasibility and correctness, ensuring fair and equitable evaluation of learning for.