主成分分析赋权及其在水质评价灰色模型中的应用  

Application of Principal Components Analysis Method to Weight Determination in Fuzzy Recognition Model for Water Quality Assess

作　　者：陈书琴[1] 许秋瑾[2] 颜昌宙[2] 储昭升[2] 

机构地区：[1]安庆师范学院资源环境系,安徽安庆246011 [2]中国环境科学研究院湖泊生态研究中心,北京100012

出　　处：《昆明理工大学学报（理工版）》2008年第2期77-80,94,共5页Journal of Kunming University of Science and Technology(Natural Science Edition)

基　　金：国家重点基础研究发展规划项目(项目编号:2002CB412307);国家“十五”重大科技专项(项目编号:2002AA601013);安徽省教育厅自然科学基金(项目编号:KJ2007B260)

摘　　要：提出了主成分分析赋权法,并使用主成分分析赋权灰色模型对东五里湖5个监测点监测数据进行了综合评价.与传统灰色模型评价结果相比,有4个监测点评价等级完全相同,并突出了第5监测点与其它4个监测点之间的差异,各监测点水质评价等级最终隶属度下降明显,评价结果更为精确、合理.同时,主成分分析可用统计套装软件(Statistical Products and Service Solutions,SPSS)轻松实现,操作简便,能极大地缩减工作量.The principal components analytic method for weight determination is proposed in this paper and then adopted to assess the water quality of the Dongwuli Lake. Comparing to the traditional evaluation method, the grade of water quality of 4/5 monitoring points is approximate. It is shown through the results that the water grade of the 5th monitoring point is better and the membership degree of each point declines remarkably. It is then confirmed that the new method is more precise and reasonable than the traditional one, and very convenient by using the SPSS （Statistical Products and Service Solutions） software.

关 键 词：主成分分析法 灰色模型 水质评价 SPSS软件 

分 类 号：X824[环境科学与工程—环境工程]