摘要
集对分析聚类预测法结合了集对分析中的同异反模式识别的"择近原则"和聚类分析的基本思想进行分类预测。基于该方法给出了城市生活需水量的详细方法预测,在分析过程中考虑了城市生活需水量与其影响因素之间的关系,利用城市生活用水总量和影响因素的历史数据,建立了城市生活需水量聚类预测的模型,并利用我国北京市的实际数据进行了分析计算。结果表明,该预测方法应用于城市生活需水量预测思路清晰,计算简单且精度较高,该预测方法具有较高的实用价值。
Set pair analysis（SPA）-Cluster predication method combines the Close First Principle with the cluster analysis philosophy,base on which this paper shows the detailed urban domestic water demand forecast.With consideration of the relationship between the urban domestic water demand and the fators that can make influence on it,a Cluster Forecast Model of urban domestic water demand is built in this paper based per the records of history.SPA is found and verified as a practical and efficient method of forecasting the city life water demand through the analysis of the actual data records of Beijing city.
出处
《水利科技与经济》
2010年第12期1324-1327,共4页
Water Conservancy Science and Technology and Economy
基金
水利部公益性行业科研专项经费项目(201001043)
国家自然科学基金项目(51079037)
关键词
集对分析
联系度
聚类预测
生活需水量预测
set pair analysis
connecting degree
cluster predication
domestic water demand forecasting
