基于灰色聚类法的合肥市空气质量综合评价研究  

Comprehensive Evaluation of Air Quality in Hefei City Based on Grey Clustering Method

作　　者：贺爱香[1] 魏巧玲 范奎奎 丁孟琴 HE Aixiang;WEI Qiaoling;FAN Kuikui;DING Mengqin(School of Information Engineering,Anhui Xinhua University,Hefei 230088,China)

机构地区：[1]安徽新华学院信息工程学院,安徽合肥230088

出　　处：《安庆师范大学学报（自然科学版）》2019年第1期99-103,112,共6页Journal of Anqing Normal University(Natural Science Edition)

基　　金：国家大学生创新创业项目(201612216003);安徽省教育厅项目(2016mooc197);骨干教师培养对象项目(2018xgg08)

摘　　要：基于灰色聚类方法提出一种城市空气质量的评价模型,利用该模型首先对数据的灰类限值进行标准化处理,然后确定白化函数,再结合白化函数和聚类叠加权重计算出聚类系数,最后按聚类对象的最大化原则归纳得出评价结果。用该模型评价合肥市2015年1月至2018年2月的日空气质量状况,与模糊综合评判法、空气质量指数(AQI)评价等级进行对比分析,结果表明:改进的灰色聚类模型克服了AQI评估中以最大污染指标代替总体水平的缺点,解决了评估层面边界信息丢失的问题和模糊综合评判法不确定的最大隶属函数问题,评估结果更符合实际情况。Abstract:Based on the grey clustering method,an evaluation model of urban air quality is proposed.Firstly,the model is normalized by the grey class limit value of the data,then the whitening function is determined.Secondly,the clustering coefficient is calculated with the whitening function and the weight of the cluster superposition.Finally,the evaluation results are summed up according to the principle of the maximization of the cluster objects.Using this model,the air quality of Hefei city from January 2015 to February 2018 was evaluated by compareing with the fuzzy comprehensive evaluation method and the AQI evaluation grade.The results show that the improved grey clustering model overcomes the disadvantage of replacing the overall level with the maximum pollution index in the AQI evaluation.It also solves the problem of the loss of the boundary information in the evaluation level and the maximum membership function of the fuzzy comprehensive evaluation method.The evaluation results are more in line with the actual situation.

关 键 词：灰色聚类 叠加权重 综合评价 空气质量 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]