基于Vague软集相似度量的网络舆情综合评判方法
A Comprehensive Evaluation Method of Network Public Opinion Based On Similarity Measure Between Vague Soft Sets

针对现有Vague软集相似度量方法的局限性，修正了Vague软集相似度量公式，提出了一种考虑Vague值区间中心差异性的Vague软集相似度量方法，并给出公理化证明。基于大规模网络舆情数据集的综合评判分析实验表明，该方法是合理的、有效的、可行的，在网络舆情分析等综合决策问题研究中有较好的应用前景和效果。
Aiming at the limitation of existing similarity measure method based on Vague soft sets, the similarity measure formula between Vague soft sets is modified and a novel similarity measure between Vague soft sets in consideration of the difference of interval center of Vague values is introduced, the axiomatic proof is given too. The experimental results of comprehensive evaluation of the network public opinion show that this method is reasonable, effective and practical, which has a good application prospect and effect in the study of internet public opinion