在关系数据库中使用常规SQL查询进行模糊分类

摘要在本文中，提出了在信息系统中使用常规SQL查询来进行模糊分类的框架。模糊分类和使用常规SQL查询，为数据提取提供了类似于常规非模糊分类和SQL查询的易用功能。被开发的框架可以作为大型信息系统和集成的常规关系数据库的数据采集工具。在报表生成阶段，使用提出的方法可以更加灵活的进行数据分析，并且能够改善信息表示。理论证实,开发原型是建立在存储过程和Microsoft SQL Server 2000数据库的引伸的基础上的。

外文原文（复印件） Implementation of fuzzy classification in relational databases using conventional SQL querying Abstract In this paper, a framework for implementing fuzzy classifications in information systems using conventional SQL querying is presented. The fuzzy classification and use of conventional SQL queries provide easy-to-use functionality for data extraction similar to the conventional non-fuzzy classification and SQL querying. The developed framework can be used as data mining tool in large information systems and easily integrated with conventional relational databases. The benefits of using the presented approach include more flexible data analysis and improvement of information presentation at the report generation phase. To confirm the theory, a prototype was developed based on the stored procedures and database extensions of Microsoft SQL Server 2000.