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出 处:《天津师范大学学报(自然科学版)》2012年第2期59-65,共7页Journal of Tianjin Normal University:Natural Science Edition
基 金:江苏省宿迁学院重点科研基金资助项目(2010KY09);江苏省宿迁学院重点科研基金资助项目(2011KY16)
摘 要:针对影响网络舆情预警等级各因素的特点以及目前各预警方法对预警等级动态变化性考虑不足的问题,提出了一种网络舆情的动态预警方法.引入动态模糊集,利用模糊综合评价法对网络舆情进行综合评判和动态预警.选取舆情和舆情受众2个方面共7个对网络舆情预警等级影响较大的因素构成预警指标体系,给出3个舆情实例的预警计算过程及其最终预警等级和动态变化趋势.验证结果表明:动态预警方法可以准确计算出预警等级并对以后的动态变化趋势做出正确判断.In view of each factor’s characteristics that affect internet public opinions pre-warning level,and insufficient consideration for dynamic changing trends of the present pre-warning methods,a dynamic pre-warning method of internet public opinion is proposed.Comprehensive evaluation and dynamic pre-warning of internet public opinion are carried out by introducing dynamic fuzzy sets and using fuzzy comprehensive evaluation.Two levels total seven factors that greatly impact on pre-warning network constitute a system of pre-warning indicators,and pre-warning computing processes of three public opinions are given as well as the levels and dynamic changing trends.The results show that this method can accurately calculate the pre-warning level and make the right judgment on the dynamic changing trends of the future
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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