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中文摘要：
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。
英文摘要：
Based on building the based-network learning evaluation index system according to the characteristics of network learning, a most efficient evaluating model on the result of based-network learning by making use of fuzzy entropy theory is brought forward. This model correts the weight of index to get the objective weight by using the method of entropy-weight and combines with the subjective weight. Then it carries on processing and getting the results of compressively evaluating according to fuzzy theory. Comparing with the traditional evaluation method, the quite reliability can be got by avoiding the much of subjective factor. The experiment proves this algorithm feasibility and validity, guarantees the education evaluation to be fair, fairly carry on.
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