首页 | 本学科首页   官方微博 | 高级检索  
     

可拓聚类预测方法预测卷烟销售量
引用本文:沈航,邹平. 可拓聚类预测方法预测卷烟销售量[J]. 昆明理工大学学报(自然科学版), 2006, 31(3): 95-98
作者姓名:沈航  邹平
作者单位:昆明理工大学,管理与经济学院,云南,昆明,650093;昆明理工大学,管理与经济学院,云南,昆明,650093
摘    要:利用可拓聚类预测方法对卷烟销售量进行了预测,用卷烟销售量和第1、第3产业产值的历史数据构造分类经典域和节域物元,应用物元和可拓集合中的关联函数建立预测模型,通过聚类分析得到预测结果.利用我国云南某地区的实际数据进行分析计算,其结果表明可拓聚类预测方法应用于卷烟销售量预测上是有效的.

关 键 词:烟草销售  可拓集合  聚类分析  关联函数
文章编号:1007-855X(2006)03-0095-04
收稿时间:2005-06-01
修稿时间:2005-06-01

Extension Classified Prediction Used in Predicting Sales Volume of Tobacco
SHEN Hang,ZOU Ping. Extension Classified Prediction Used in Predicting Sales Volume of Tobacco[J]. Journal of Kunming University of Science and Technology(Natural Science Edition), 2006, 31(3): 95-98
Authors:SHEN Hang  ZOU Ping
Affiliation:Faculty of Management and Economics, Kunming University of Science and Technology, Kunming 650093, China
Abstract:Extension classified prediction is used to predict sales volune of tobacco;sales volume of tobacco and the historical production value of the first industry and the third industry are used to establish classified classics field and node field element;the dependent function of material element and extension set is applied to establish prediction model.The prediction results can be obtained by means of classified analysis.Through analyzing and calculating the real data of a certain region in Yunnan,the results show that extension classified prediction is effective in predicting sales volume of tobacco.
Keywords:tobacco marketing  extension set  classified analysis  dependent function
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号