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判别分析与决策树分析在化学物质生态危害分类中的应用
引用本文:周林军,刘济宁,石利利,单正军,陈国松,蔡玉琪.判别分析与决策树分析在化学物质生态危害分类中的应用[J].生态与农村环境学报,2009,25(1).
作者姓名:周林军  刘济宁  石利利  单正军  陈国松  蔡玉琪
作者单位:1. 南京工业大学理学院,江苏,南京,210009;环境保护部南京环境科学研究所,江苏,南京,210042
2. 环境保护部南京环境科学研究所,江苏,南京,210042
3. 南京工业大学理学院,江苏,南京,210009
基金项目:国家重点基础研究发展规划(973计划) 
摘    要:运用Fisher判别、马氏距离判别和决策树分析3种方法对61种环境优先污染物的生态危害程度进行分类,并比较了各模型的分类正确率.结果显示,决策树分析方法分类正确率最高,为92%;马氏距离判别其次,为87%;Fisher判别最低,为75%.决策树分析方法不仅减少了2项评价指标,而且对61个新数据矩阵的多次分析显示其分类能力非常稳定,正确率基本符合正态分布,且保持在92%左右,为3种方法中最优的分类方法.

关 键 词:Fisher判别  马氏距离判别  决策树  生态危害分类

Application of Discriminant Analysis and Decision Tree Analysis to the Classification of Ecological Hazards of Chemicals
ZHOU Lin-jun,LIU Ji-ning,SHI Li-li,SHAN Zheng-jun,CHEN Guo-song,CAI Yu-qi.Application of Discriminant Analysis and Decision Tree Analysis to the Classification of Ecological Hazards of Chemicals[J].Journal of Ecology and Rural Environment,2009,25(1).
Authors:ZHOU Lin-jun  LIU Ji-ning  SHI Li-li  SHAN Zheng-jun  CHEN Guo-song  CAI Yu-qi
Institution:1.College of Science;Nanjing University of Technology;Nanjing 210009;China;2.Nanjing Institute of Environmental Sciences;Ministry of Environmental Protection;Nanjing 210042;China
Abstract:Decision tree analysis,Mahalanobis distance discriminant analysis and Fisher discriminant analysis were employed to classify ecological hazards of 61 chemicals.Comparison between these methods showed 92%,87% and 75%,respectively in correctness of the classification.Decision tree was not only the highest in correctness,but also reduced 2 indexes in the evaluation.Moreover,analyses of the 61-index matrix demonstrated that the classification capacity of the decision tree method was very stable and its correctn...
Keywords:Fisher discriminant  Mahalanobis distance discriminant  decision tree  ecological hazard classification  
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