为了发现粗糙关系数据库中潜在的和有趣的模式，提出并研究了粗糙函数依赖的近似度量和精确度量。
The accurate and approximate measures of rough functional dependency are proposed in this paper in order to find potential and interesting patterns for rough relational database.
粗糙关系数据库模型从本质上来说就是多值信息系统，它继承和扩展了经典的粗糙集理论，但与经典粗糙集理论又有着很大的不同。
Rough relational database model is Multi-valued information system essentially, inheriting and extending classical rough sets theory. But there is much difference between them.
该度量的提出及其性质的研究有利于粗糙关系数据库的知识发现及数据查询的研究，并且进一步扩大了粗糙关系数据库的研究领域。
The introduction of approximate theory of rough functional dependency will accelerate the development of knowledge discovery for rough relational database and extend its research field.
该度量的提出及其性质的研究有利于粗糙关系数据库的知识发现及数据查询的研究，并且进一步扩大了粗糙关系数据库的研究领域。
The introduction of approximate theory of rough functional dependency will accelerate the development of knowledge discovery for rough relational database and extend its research field.
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