Aiming at the shortcomings of some existing interval-valued intuitionistic fuzzy entropy, this paper proposes an interval-valued intuitionistic fuzzy entropy, which contains not only the interval distance between membership and nonmembership but also the average hesitancy information. On this basis, the impact evaluation of microblog users is studied. Through the multilevel decomposition of user influence, the coverage of microblog, user interaction, and user activity are constructed as the first level indicators, and nine secondary indicators are selected as the comprehensive evaluation index system of microblog influence. Considering the highly dynamic and unstructured characteristics of social network data, the idea of interval-valued intuitionistic fuzzy is introduced to transform the evaluation of social network users’ influence into interval-valued intuitionistic fuzzy multiattribute group decision-making problem. Finally, the model is applied to dynamic evaluation of Sina Weibo users’ influence to verify the effectiveness of the model.

中文翻译：

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区间值直觉模糊熵技术对微博用户影响的群体决策智能评估模型

针对现有的一些区间值直觉模糊熵的不足，提出一种区间值直觉模糊熵，它不仅包含隶属度和非隶属度之间的间隔距离，还包含平均犹豫信息。在此基础上，研究了微博用户的影响评价。通过用户影响力的多层次分解，将微博的覆盖范围，用户互动和用户活动作为一级指标，并选择了九个二级指标作为微博影响力综合评价指标体系。考虑到社交网络数据的高度动态和非结构化特征，引入了区间直觉模糊的思想，将社交网络用户的影响力评价转化为区间直觉模糊多属性群决策问题。最后，将该模型应用于新浪微博用户影响力的动态评估，以验证该模型的有效性。