摘要
在现今网络的发展如此迅速的时代,分布式数据库应用越来越多,在数据处理中要面对大量不确定性、不精确的数据。。本文提出一种新的适用于中型分布式模糊数据处理的技术,即采用分布式数据库技术与模糊数据处理技术相结合的方法,根据实际系统的特点,快速方便地进行分布在不同区域的模糊数据处理。该技术为在分布环境下模糊数据处理提供了有效的解决工具。本文详细介绍了基于SQL和模糊数据处理的方法等。
With the rapid growth of the Internet, it is much more often that applications of distributed database have to process large amount of dynamic and inaccurate data. A new scheme suitable for medium -scale distributed fuzzy data process is proposed in this paper. This scheme combines the distributed database and fuzzy data processing techniques to provide fast processing of fuzzy data distributed in various regions and domains based on the actual system characteristics. This scheme provides an effective tool for fuzzy data processing in distributed environments. Fuzzy data processing based on SQL is explained in detail as well.
出处
《微计算机信息》
2002年第6期65-66,68,共3页
Control & Automation
基金
本文受浙江省自然科学基金
浙江省教育厅基金资助。
关键词
分布式数据库
模糊数据处理
SQL
计算机
distributed database, fuzzy data, SQL, center of mass, averaging
