基于概念格的知识约简算法的实现

Research of Knowledge Reduction Based on Concept Lattice

探讨了Rough集和概念格的基本理论,将Rough集和概念格模型有机地结合起来,运用Rough集的约简理论提出一种基于概念格的知识约简方法并通过实验进行了验证,结果表明利用Rough集理论对以形式背景形式描述的原始数据集进行约简,可以在一定程度上减小概念格的规模。

Inquiring into the basic theory of rough set and concept lattice,a method of knowledge is proposed reduction which combine rough set theory and concept lattice model. At last, experiment results are given. The result shows that reduet the original data set which described with formal context can minish the size of concept lattice at a certain extent.