Abstract: Considering that the formal context lacks the function dependence in the practical application or the relations analyzed are multi-dimensional and it has a lot of redundant concepts and so on，it proposes a new method of using logical scaling to get agreement context.Using the agreement context produced by the logical scaling can reduce the primitive redundant input data which has nothing to do with the analysis，reduce the construction of redundant concept，enhance the readability of the concept standard，and discover the formal context submergence in consistent knowledge.The tool of ToscanaJ is used to confirm the result to be correct actually.

Key words: formal concept analysis, multi-valued context, logical scaling, agreement context, Galois lattice

摘要： 针对在实际应用中形式背景缺少函数依赖或被分析的关系是多维且冗余概念多等特点，提出了一种利用逻辑换算获取一致背景的新方法。通过利用逻辑换算产生的一致背景可减少与分析无关的原始冗余数据的输入，降低冗余概念的产生，提高概念格的可读性，同时发现形式背景下潜在的一致性知识。通过使用ToscanaJ工具实际验证方法正确。

关键词: 形式概念分析, 多值背景, 逻辑换算, 一致背景, 概念格