连锁超市经营决策支持系统设计  

Design for Decision Support System of Chain Supermarkets

作　　者：余绍黔[1] 

机构地区：[1]湖南商学院计算机与电子工程学院,长沙410205

出　　处：《湖南商学院学报》2008年第3期56-59,共4页Journal of Hunan Business College

基　　金：湖南省教育厅科学研究项目(05C546);湖南省哲学社会科学成果评审委员会项目

摘　　要：近年来,我国连锁超市发展迅猛;面对激烈市场竞争,需要一套能够通过数据挖掘使决策者获得所关注问题信息,提供决策支持的系统。系统在对顾客"购物篮"进行分析时,通过对Apriori算法进行改进,先将商品分成大类,在商品大类之间设置加权值,计算加权置信度,找出顾客购买的商品相互之间存在的内在联系,帮助连锁超市制定出有效的营销策略,合理引导消费。Recently, China witnesses a swift and violent development in chain supermarkets. In the fierce market competition, we are in need of a decision support system which can get useful information through data mining. The system improves the Apriori algorithm when analyses the ＂shopping basket＂ of the customers. Firstly, it classifies the commodities into some big categories and sets weighted value between them. Then it evaluates the weighted degree of confidence, and finds out the intrinsic links among the commodities. Thus it helps the chain supermarkets to make effective marketing strategy and reasonable guide to the consumption.

关 键 词：Apriofi改进算法“购物篮”分析 大类商品加权 决策支持 

分 类 号：F717.6[经济管理—产业经济] F716