This paper gives a decision-tree algorithm acquiring many kinds of knowledge. The algorithm depends on the given priority and type of attributes to acquire the classified type of knowledge. In order to ensure the effectiveness of the acquired knowledge，a kind of evidence support degree to evaluate knowledge is proP9sed according to Cohen's inductive probability，and a kind of knowledge refinement method is given correspondingly.