For Fuzzy Classification of Databases with Fuzzy Classification Query Language

Seyfali Mahini
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Abstract

Business information systems have extensive databases that are mainly managed in relational databases. What is often missing are automated procedures to analyze these inventories without major restructuring. Based on this, we develop the Fuzzy Classification Query Language, FCQL, which enables fuzzy queries to the extended database schema using linguistic variables and converts them into SQL statements to the database. With this, we give the user a data mining tool so that he can start extended queries on his databases based on a pre-defined fuzzy classification and obtain an improved basis for decision making. As a result, the fuzzy classification query language enables marketers to improve customer value, launch useful programs, automate overall customization, and refine business campaigns.
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基于模糊分类查询语言的数据库模糊分类
商业信息系统具有广泛的数据库,这些数据库主要在关系数据库中进行管理。通常缺少的是在不进行重大重组的情况下分析这些库存的自动化程序。在此基础上,我们开发了模糊分类查询语言FCQL,它可以使用语言变量对扩展数据库模式进行模糊查询,并将其转换为数据库的SQL语句。在此基础上,我们为用户提供了一个数据挖掘工具,使用户可以基于预定义的模糊分类对其数据库进行扩展查询,并获得改进的决策基础。因此,模糊分类查询语言使营销人员能够提高客户价值,启动有用的程序,自动化整体定制,并细化业务活动。
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