摘要
[目的/意义]旨在为微博舆情危机预警提供参考。[方法/过程]根据微博舆情的传播特性提取6个重要属性要素,通过相似度的直觉模糊熵确定各属性的权重,基于直觉模糊推理进行微博舆情预警等级研判。以6个微博舆情案例进行实验分析,并与其他危机预警方法进行比对分析。[结果/结论]提出的方法能真实估计微博舆情危机等级,并符合经验判断。
[Purpose/significance]The paper provides references for crisis warning in micro-blogging public opinion.[Method/process]According to the propagation characteristics of the public opinion in micro-blogging,six important attribute elements are extracted,and the weights of each attribute are determined by the intuitionistic fuzzy entropy of similarity.Based on the intuitionistic fuzzy reasoning,the micro-blogging public opinion warning level is judged.Six micro-blogging public opinion cases are selected for experimental analysis,and the method is compared with other crisis warning methods.[Result/conclusion]The method estimates the micro-blogging public opinion crisis level more accurate and realistic,which is also in line with empirical judgment.
作者
肖鸿雁
陈海汉
陈福集
Xiao Hongyan;Chen Haihan;Chen Fuji(School of Economics and Management, Fuzhou University,Fuzhou Fujian 350108)
出处
《情报探索》
2019年第7期29-38,共10页
Information Research
基金
国家自然科学基金项目“基于知识网格面向网络舆情的政府决策知识供需匹配研究”(项目编号:71271056)成果
关键词
微博舆情
预警
直觉模糊推理
micro-blogging public opinion
early warning
intuitionistic fuzzy reasoning
