摘要
针对洪水分类指标具有不确定性、模糊性及以往洪水分类研究中未考虑聚类指标权重的不足,提出了一种基于可变模糊集理论并考虑模型参数指标权重变化的可变模糊聚类迭代模型,并应用于南京站和宜昌站的洪水样本分类中。实例结果表明,该模型在洪水分类预测中准确、合理,具有推广应用价值。
Aiming at the uncertainty and fuzziness of flood indexes classification and without considering classified index weight in former flood classification research,this paper presents a variable fuzzy clustering iterative model based variable fuzzy sets theory and considering changes of index weight.The proposed model is applied to classification of flood data in Nanjing Station and Yichang Station.The research results show that the proposed model is accurate and reasonable for flood classification research,which is worth of popularization and application.
出处
《水电能源科学》
北大核心
2011年第1期23-25,5,共4页
Water Resources and Power
基金
国家自然科学基金资助项目(50779005)
河南省教育厅自然科学研究计划基金资助项目(2010B570002)
关键词
可变模糊集
可变模糊聚类迭代模型
可变指标权重
洪水分类
variable fuzzy sets
variable fuzzy clustering iterative model
variable index weight
flood classification
