模糊数据库管理系统的经验:实现与使用

A. Aguilera, Livia Borjas, Rosseline Rodríguez, Leonid José Tineo Rodríguez
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引用次数: 4

摘要

本文比较了三种模糊数据库管理系统(DBMS)的发展经验。这些发展扩展了一些现有关系DBMS (PostgreSQL, Oracle, Firebird, SQL Server, MySQL和DB2)的功能,以处理模糊术语的查询。提出的三种方法基于三种不同的集成方法,即弱、中、强耦合策略。这些开发基于评估机制,这些机制在查询处理所花费的时间方面提供了良好的行为。此外,本文还介绍了两种模糊数据库管理系统的用户体验,表明用户对模糊数据库管理系统的接受度很高。为此,使用我们的模糊DBMS开发了一些应用程序。这些经验表明,模糊DBMS在实际应用中是适当的和必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Experiences on fuzzy DBMS: Implementation and use
This paper presents a comparison of three developmental experiences of fuzzy DBMS (Database Management Systems). These developments have expanded the functionality of some existing relational DBMS (PostgreSQL, Oracle, Firebird, SQL Server, MySQL and DB2) to handle queries with vague terms. The three approaches presented are based on three different methods of integration known as weak, medium and strong coupling strategies. These developments are based on evaluation mechanisms that give good behavior in terms of time spent for query processing. In addition, this paper also presents two user experiences of these fuzzy DBMS, which show a high acceptance by users. To do so, are some applications developed using our fuzzy DBMS. These experiences show that fuzzy DBMS are appropriate and necessary in real-world applications.
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