文章主要介绍基于粗集方法的智能专家系统的基本构成、知识表达方式及学习推理方法。提出了利用不可分辨性或根据算法相容性进行知识简化，导出决策规则的方法，通过研究导师的知识与学习者的知识之间的依赖程度，找出每一概念的有用特征，进行知识简化和系统简化，导出决策规则的学习推理方法。

The basic topology, knowledge representation and inductive learning of an intelligent expert system on rough sets are introduced in this paper. Based on the indiscernibility relation of system knowledge expression, a compatible algorithm is proposed to simplify the knowledge expressions and to induce the system decision rules. In order to extract the significant attributes from elementary knowledge and to reduce the dimensions of the system representation, inductive learning is also introduced by means of reasoning the dependency of knowledge between the teacher and the learner.