And a brief introduction of fuzzy relational database technology applications.
并简单介绍了模糊关系数据库技术的应用领域。
This methodology contains extensions for representing the imprecision of data in fuzzy relational database.
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。
Fuzziness is introduced into database systems to process this kind of obscure data, which leads to the emergence of fuzzy relational database.
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。
The results proves that the relational database converted into fuzzy relational database, the performance is very similar, and the feasibility is higher.
结果证明由关系型数据库转为模糊数据库后性能相近，可行性高。
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.
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。
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