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.
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)
关键词
熵权
模糊聚类
洪水分类
entropy weights
fuzzy clustering
flood classification
