基于模糊积分的网络舆情态势理解方法  

Situation Comprehension of Online Public Opinions Based on Choquet Fuzzy Integral

作　　者：王瑾[1] 李弼程[1] 黄洁[1] 

机构地区：[1]信息工程大学信息工程学院,河南郑州450002

出　　处：《信息工程大学学报》2011年第5期584-589,共6页Journal of Information Engineering University

基　　金：国家社科基金重大招标项目(09&ZD014);国家863计划资助项目(2007AA01Z439)

摘　　要：由于网络舆情态势理解模式中各属性之间具有一定的相关性,网络舆情态势理解可以看成一个关联的多属性决策问题。考虑到模糊测度和模糊积分处理关联的多属性决策问题的优势,文章提出一种基于模糊积分的网络舆情态势理解方法。该方法利用Choquet模糊积分融合网络舆情话题的倾向性、关注度、敏点及焦点4个属性,分析话题与公众之间联系的紧密程度,实例验证了方法的正确性和有效性。As attributes for the situation comprehension of online public opinions are inter-related,the situation comprehension of online public opinions can be considered as an issue of RMADM（Relationship Multi-attribute Decision Making）.Considering the predominance of the fuzzy measure and fuzzy integral in dealing with RMADM issues,this paper proposes a method on situation comprehension of online public opinions based on Choquet fuzzy integral.In this method,four attributes of topics,including the trend,attention,sensitive point and focus,are fused using Choquet fuzzy integral,and the relationship between topics and the public is analyzed.The validity and effectiveness of this method are tested empirically.

关 键 词：模糊测度 模糊积分 网络舆情 态势理解 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]