成都大学学报：自然科学版2011，Vol.30Issue(4)：320-324,5.
基于改进的主成分分析和集成综合评价法的水质评价
Water Quality Assessment Based on Improved PCA and Integrated Comprehensive Evaluation Method
摘要
Abstract
An improved Principal Component Analysis（PCA） method was proposed for the deficiency of traditional PCA method in processing nonlinear data.Firstly,this method made linearization on the original nonlinear data by logarithm conversion.Then it adopted equalization method to realize non-dimensional treatment and try most to keep the original information in data as well as to make the dimension of data reduced dramatically.Combining entropy method,an integrated comprehensive evaluation method was proposed after improving the comprehensive evaluation function.That is to say,two kinds of comprehensive evaluation values were obtained by using traditional PCA and entropy method respectively followed by the consistency test by Kendall-W.If the two kinds of values pass the coherence test,they would be integrated together for further comprehensive evaluation.Otherwise,system clustering method would be employed for comprehensive evaluation.Finally,these methods mentioned above were applied to the water quality monitoring of a water factory.The experimental results show that the method can reflect the water quality more objectively.关键词
改进的主成分分析/集成综合评价/线性化/熵值法/聚类分析/水质评价Key words
improved PCA/integration comprehensive evaluation/linear process/entropy method/clustering analysis/water quality assessment分类
数理科学引用本文复制引用
叶建华,代金鹭,向萍,徐洁,刘琴..基于改进的主成分分析和集成综合评价法的水质评价[J].成都大学学报：自然科学版,2011,30(4):320-324,5.基金项目
四川省科技厅科技支撑计划（2010SZ0004）资助项目 （）
