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基于经典熵方法的局限,提出一个新的区间直觉模糊熵计算方法.考虑社交网络数据高度动态及非结构化的特性,引入区间直觉模糊思想,创新性地将社交网络用户影响力量化评价转化为模糊多属性群决策问题,提出基于区间直觉模糊数的用户影响力动态评价模型.该模型对用户影响力进行多层次分解,建立模糊情境下的指标体系,以区间数描述用户数据,同时引入时间维度考察数据的动态差异,采用新的熵方法计算模糊熵,设计主客观相结合的熵权确定方法,从而对用户影响力进行量化分析.克服了主观赋权的局限,提供了社交网络量化评价的新思路,拓展了区间直觉模糊群决策方法的应用.最后,应用该模型对新浪微博用户进行影响力动态评价,验证模型的有效性.
Based on the limitation of classical entropy method, a new interval intuitionistic fuzzy entropy computing method is proposed.Considering the highly dynamic and unstructured characteristics of social network data, the interval intuition fuzzy theory is introduced to creatively transform the quantitative evaluation of social network users’ influence into Fuzzy multi-attribute group decision-making problem, a dynamic evaluation model of user influence based on interval intuitionistic fuzzy number is proposed. The model decomposes users’ influence at multiple levels and establishes an index system in fuzzy situation. User data is described by interval numbers, Dimension to investigate the dynamic differences of the data, the new entropy method is used to calculate the fuzzy entropy, and the method of determining the entropy weight is designed to combine the subjectivity and subjectivity so as to quantitatively analyze the influence of the users.It overcomes the limitation of subjective empowerment and provides the quantitative evaluation of social network , Which extends the application of interval intuitionistic fuzzy group decision-making method.Finally, this model is used to evaluate the influence of Sina Weibo users and verify the validity of the model.