摘要
为提高物流管理信息系统查询效率,根据物流数据库管理系统查询调用数据属性字典的统计信息,提出一种优化属性字典分级的动态方法。描述了该方法的实现并进行了查询效率分析。该方法基于模糊聚类原理,在属性字典表中添加聚类属性项;将数据繁多的属性字典表按其在选定时间内的属性统计值进行动态归类分级。系统运行实践表明,该方法提高查询效率最高达31.9%,平均达19.3%。
In order to improve query efficiency in logistics managing,a dynamic method of optimizing logistics classification based on statistical data of property dictionary demanded by logistics managing system was proposed. It describes the realization of the method as well as the analysis of the query efficiency. It classifies the numerous materials dynamically on actual statistical data during the selected period and adds a new clustering attribute in logistics dictionary table as for seeking based on fuzzy clustering principles. The practice of the system operation shows this method can improve query efficiency to 31.9 % maximum, 19.3 % average.
出处
《鞍山科技大学学报》
CAS
2007年第3期255-257,261,共4页
Journal of Anshan University of Science and Technology
关键词
物流管理
操作频度
模糊聚类
动态分级
预处理
logistics management
entering frequency
fuzzy clustering
dynamic classification
pretreatment
