并简单介绍了模糊关系数据库技术的应用领域。
And a brief introduction of fuzzy relational database technology applications.
研究表明，模糊关系数据库是开发不确定性系统的非常重要的工具。
Research indicates that fuzzy database is an important tool in the exploitation process of uncertainty system.
为了处理模糊数据，把模糊性引入数据库系统中，从而形成了模糊关系数据库。
Fuzziness is introduced into database systems to process this kind of obscure data, which leads to the emergence of fuzzy relational database.
本文提出了一种属性具有模糊度的模糊关系数据库模型，它可用来描述现实世界中范围广泛的模糊对象。
A fuzzy relational data model with fuzzy attributes, which could be used for truly modeling various fuzzy objects in the real world, is presented in the paper.
这方法学包含引伸为代表数据不精确在模糊的关系数据库。
This methodology contains extensions for representing the imprecision of data in fuzzy relational database.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
以模糊数据与ERP的融合应用为背景，探讨了关系数据库上模糊数据库表的设计及相关的数据处理技术。
Under the background of integrating fuzzy information into ERP, the concerns of fuzzy database design and related fuzzy data processing techniques on RDB are discussed.
在关系数据模型的基础上，对主动模糊数据模型进行了研究，介绍了主动模糊数据库技术，分析了主动模糊数据库的结构。
Active fuzzy data model is studied based on relation data model. Following an introduction to active fuzzy database technology, the structure of active fuzzy database is analyzed.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
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