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模糊聚类分析在长江流域水质分类中的应用
Application of Fuzzy Cluster Analysis in Water Quality Classification in Yangtze Valley
【摘要】 以长江流域干、支流十七个典型水体实测资料为依据,将模糊聚类分析原理用于水体水质的分类研究。提供了建立水体间模糊相似关系矩阵的简便可行的办法,并分别用三种不同的聚类分析方法——传递闭包法、最大树法和编网法得到基本一致的结果。
【Abstract】 On the base of 17 typical water bodies’ actual material taken from Yangtze valley,this article makes use of fuzzy clustering analysis principle into the water quality classification research. It provides the establishment of simple feasible means between the water body and the fuzzy similar relational matrix and uses three kind of different cluster analysis methods: transitive closure law,the maximal tree law separately and arranges the net law to obtain the basic consistent result.
【关键词】 长江;
水质分类;
模糊等价关系;
模糊聚类分析;
【Key words】 Yangtze River; water quality classification; fuzzy equivalent relation; fuzzy clustering analysis;
【Key words】 Yangtze River; water quality classification; fuzzy equivalent relation; fuzzy clustering analysis;
- 【文献出处】 价值工程 ,Value Engineering , 编辑部邮箱 ,2015年03期
- 【分类号】X824
- 【被引频次】5
- 【下载频次】241