基于粗糙集的分布式信息检索

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,降低了信息查询的时间复杂性,提高了信息查准率,兼顾了查全率,为信息查询和科技查询提供决策支持。

Retrieval for Distributed Information based on Rough Sets

With the developing 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.In this paper,a new type of information query system-Distributed Database system is designed with rough set theory and fuzzy set knowledge.A new information query method is advanced and the architecture of the system and its key algorithms are given.Main characteristic of the research achievement is that query algorithm's time complexity decreases with the increase of amount of information and relates to the only amount of index words.Results show that it is an effective method with which a system for fuzzy query is implemented.