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基于熵权-离差聚类法的城市公共安全舆情评估 被引量:5

Public Opinion Assesment about Urban Public Security Based on Entropy Weight-deviation and Clustering Method
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摘要 为了提高我国平安城市和安全社区建设水平,以天涯社区论坛为例,评估我国城市公共安全舆情。基于安全社区指标体系,采用火车头采集器对北京、天津、上海、重庆和广州5个城市2010年1月—2012年5月的公共安全舆情数据进行挖掘,采用熵权法和离差最大化法确定安全舆情指标的权重值,建立城市公共安全舆情评价的多属性决策模型。利用ward系统聚类法对城市公共安全舆情进行分类评价。计算结果表明,城市公共安全舆情指数的排序依次为上海、重庆、北京、广州、天津。这5个城市的公共安全舆情指数存在明显差异。 Taking Tianya community forum as an example,public opinion about urban public security was evaluated for promoting constructing safe and sound cities and communities.Based on community security index,the security opinion data for five big cities,Beijing,Shanghai,Tianjin,Chongqing and Guangzhou were mined from January 2010 to May 2012 by LocoySpider.The weight values of the security opinion were determined by the entropy weight method and maximizing deviations method and a multi-attribute decision model was built.Urban public security opinion was evaluated using a ward system clustering.The results show that the rankings of the five cities by opinion index of the urban public security are: Shanghai,Chongqing,Beijing,Guangzhou,and Tianjin.Obvious differences exist among the urban public security opinion indexes of the five cities.
出处 《中国安全科学学报》 CAS CSCD 北大核心 2012年第9期147-152,共6页 China Safety Science Journal
基金 中国博士后科学基金面上项目(20110491377) 教育部人文社会科学研究一般项目(11YJC630225) 江苏省教育厅高校哲学社会科学项目(2012SJB630024)
关键词 城市公共安全 舆情 熵权 离差最大化 ward系统聚类 urban public security opinion entropy weight maximizing deviation
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