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基于可变模糊集理论的舆情指标预警模型研究
引用本文:孙玲芳翟鹏博.基于可变模糊集理论的舆情指标预警模型研究[J].计算机与数字工程,2014(2):267-271.
作者姓名:孙玲芳翟鹏博
作者单位:[1]江苏科技大学经济管理学院,镇江212003 [2]江苏科技大学计算机科学与工程学院,镇江212003
基金项目:教育部人文社科基金项目(编号:10YJAZH069);江苏省"六大人才高峰"项目(编号:2012XXRJ-013)资助.
摘    要:通过分析网络舆情影响因素,建立网络舆情指标体系.根据可变模糊理论构建网络舆情危机模型,采用类别特征值规则取代最大隶属原则的评价方法进行定量的评判,从而得到网络舆情的危机预警等级.结合具体实例对该模型分析,结果证明了其合理性.

关 键 词:可变模糊  网络舆情  指标体系  类别特征值

A Warning Model of Network Public Opinion Based on Variable Fuzzy Sets Theory
SUN LingfangSchool of Economic and Management,Jiangsu University of Science and Technology,Zhenjiang,ZHAI Pengbo.A Warning Model of Network Public Opinion Based on Variable Fuzzy Sets Theory[J].Computer and Digital Engineering,2014(2):267-271.
Authors:SUN LingfangSchool of Economic and Management  Jiangsu University of Science and Technology  Zhenjiang  ZHAI Pengbo
Affiliation:(School of Computer Science and Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003)
Abstract:The index system of network public opinion is established based on analyzing the factors affecting network public opinion.According to the theory of variable fuzzy,the model of network public opinion is made to have a quantitative evaluation of network public opinion by adopting the class characteristic value rule instead of the maximum membership principle,and the warning levels of network public opinion is obtained.Combined with concrete example,the model is analyzed and validated.The model shows its rationality.
Keywords:variable fuzzy  network public opinion  index system  category eigenvalue
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