Description: 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.
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基于熵的网络学习模糊综合评价方法.pdf
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