在没有领域先验知识的条件下,不确定知识获取是机器学习研究中的一个难题.本文利用决策表和决策规则的不确定性,通过分析决策表、决策规则及概念格的知识表示形式,发现这3种知识表示形式中知识不确定性之间的关系,进而提出基于概念格的数据驱动不确定知识获取算法.仿真实验结果表明,该算法在不确定性知识获取中是有效的. Uncertain knowledge acquisition is a difficult problem in machine learning research in the absence of prior knowledge of the field.By using the decision table and the uncertainty of decision rules, this paper analyzes the decision table, decision rules and the knowledge representation of concept lattice, The relationship between the knowledge uncertainty of these three kinds of knowledge representation is found, and then a data driven uncertainty knowledge acquisition algorithm based on concept lattice is proposed.The simulation results show that the algorithm is effective in obtaining uncertainty knowledge.