基于熵权的模糊聚类模型在洪水分类中的应用  

Application of Fuzzy Clustering Model Based on Entropy Weights in Flood Classification

作　　者：孙倩[1] 段春青[2] 邱林[2] 陈晓楠[3] 

机构地区：[1]山东黄河河务局,山东济南250000 [2]华北水利水电学院,河南郑州450011 [3]西安理工大学水利水电学院,陕西西安710048

出　　处：《华北水利水电学院学报》2007年第5期4-6,共3页North China Institute of Water Conservancy and Hydroelectric Power

基　　金：河南省高校创新人才培养工程项目(HNCX2003-17)

摘　　要：在分析传统洪水分类方法不足的基础上,将基于熵权的模糊聚类模型应用于洪水分类问题中.运用熵权的方法确定分类指标的权重,并利用模糊聚类模型得出历史洪水样本的自然分类.实例表明:该方法计算简单,可以克服权重赋值的人为干扰,而且直接由历史洪水样本数据来驱动,不需预先给出不同洪水类型所对应的洪水要素的分类指标值,有较高的应用价值.Analyzing the deficit of methods in flood classification, the fuzzy clustering model based on entropy weights for flood classification is put forward. Weights are gotten by entropy and flood classification is finished by fuzzy clustering. The results show that fuzzy clustering based on entropy weights is not only simple, but also objective. It is droved directly by historical flood data and is a effective method.

关 键 词：熵权 模糊聚类 洪水分类 

分 类 号：TV12[水利工程—水文学及水资源]