Decision tree can visualize the decision process in representing the knowledge o f an expert system.This paper presents two learning algorithms which can implement the ability of increasing knowledge in decision tree and the abili ty of learning from misjudgement. Based on the algorithms,a kind of knowledge base used in Visual ESTool is established and an example demonstrating the process of establishing a decision tree is presented in this paper.