基于决策树分类方法的粮食轮换决策支持系统  

Decision Support System for Grain Inventory Updating By Turns Based on Decision-Tree Method

作　　者：于海鸿[1] 孙吉贵[1] 李泽海[1] 孙国 

机构地区：[1]吉林大学计算机科学与技术学院 [2]长春金鹰智谷科技集团公司,吉林长春130030

出　　处：《计算机应用研究》2006年第11期128-130,140,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60073039;60273080);吉林省科技发展计划资助项目(20020306)

摘　　要：粮食轮换决策一直是困扰国家粮食存储企业的难题。粮食管理信息系统多年的成功应用,积累了大量的粮食数据信息。粮食轮换决策支持系统基于数据挖掘中的决策树分类方法,在大量的粮食轮换样本数据的基础上,发掘粮食轮换的决策知识,并利用这些知识指导粮食轮换决策。该系统运行稳定,已成功试运行于某地区的粮食管理部门和企业,并明显改善了其粮食轮换决策的效能。The decision for Grain Inventory Updating By Turns（GIUBT） is an awkward problem that managers of the grain inventory enterprises must be faced. Grain management information systems have been widely applied successfully for many years, and a mass of data was gathered. The decision support system is designed and implemented for GIUBT, which is based on decision tree method of data mining. Decision knowledge about GIUBT is discovered by mining in a vast set of sample data, which are used to guide the decision. The system run stably, and is test run by some grain inventory enterprises. It worked well and improved the efficiency of GIUBT decision evidently.

关 键 词：决策支持系统 决策树 分类 粮食轮换 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]