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集值信息系统知识发现和灰理论在DRP中的应用
Knowledge discovery of sets information system and grey theory and theirs application in DRP
【摘要】 探讨了如何利用灰理论中的灰关联度改善集值信息系统知识发现中包含度的计算,并将其应用在一大型乳业集团的DRP系统中来预测客户资信评估的可信度,采用ASP+XML和MS SQLServer 2000数据库实现,为该集团评估客户的资信提供了科学的方法。
【Abstract】 How to use the degree of grey incidence of grey theory to improve the calculation of the inclusion degree in sets information system was discussed.This algorithm was implemented in the DRP(Distribution Resource Planning) of a large dairy farming corporation to forecast the reliability of customers’ credit.It is designed with the use of asp & xml and MS SQL Server 2000 database and provides a scientific method on evaluating credit ranks of the corporation’s customers.
【关键词】 知识发现;
包含度;
灰理论;
灰关联度;
分销资源计划;
【Key words】 knowledge discovery; inclusion degree; grey theory; degree of grey incidence; Distribution Resource Planning(DRP);
【Key words】 knowledge discovery; inclusion degree; grey theory; degree of grey incidence; Distribution Resource Planning(DRP);
【基金】 四川金财科技集团资助项目
- 【文献出处】 计算机应用 ,Computer Applications , 编辑部邮箱 ,2005年10期
- 【分类号】TP18
- 【被引频次】2
- 【下载频次】101