【摘要】 在分布式数据库技术和模糊集理论的基础上,应用作为数据挖掘的新方法的Rough集理论,针对分布式数据库的复杂查询处理问题,构建一种基于Rough集的分布式数据库系统,设计出Rough集上的查询算法,不仅极大地降低了信息查询的时间复杂性,而且提高了信息查准率,又兼顾了查全率,从而可以更准确迅速地查到所需要的信息,为信息查询和科技查新提供决策支持。更多还原

【Abstract】 With the development of Distributed Database technology,fuzzy query of Distributed Database has been playing an important role in the information query.Raising query speed and precision ratio is always the main topic of information query.For the reason given above,in this paper,a new type of information query system-Distributed Database system is designed by using rough set theory and fuzzy set knowledge.A new information query method is advanced.the architecture of the system and its key algorithms are given.The main characteristic of the research achievement is that query algorithm’s time complexity is not increased with the increase of amount of information,that the query algorithm’s time complexity relates to the only amount of index words.An analyzed results show that it is an effective method.By using this method, a system for fuzzy query is implemented.更多还原