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Network performance comprehensive evaluation based on entropy of vague set and similarity measure

机译:基于Vague集熵和相似度度量的网络性能综合评价

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摘要

Aimed at the problem of network performance evaluation, a new method based on vague set is proposed. First the network performance attributes are confirmed, then the sample data is transformed to vague value data and weights of attribute are calculated by use of entropy of vague set, finally network performance is evaluated by means of integrating vague set entropy weight with similarity measure. A new transforming formula from single value data to the vague value data and a new formula for similarity measure between vague sets are presented. The results show that the method can make good use of the fuzzy and uncertainty information, the evaluation result is more reasonable and objective.
机译:针对网络性能评估的问题,提出了一种基于模糊集的新方法。首先确定网络性能属性,然后将样本数据转换为模糊值数据,并利用模糊集的熵计算属性权重,最后通过将模糊集熵权与相似性度量相结合来评估网络性能。提出了从单值数据到模糊值数据的新转换公式以及模糊集之间相似性度量的新公式。结果表明,该方法可以很好地利用模糊和不确定性信息,评价结果更加合理,客观。

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