中文摘要：

连续形式背景离散化是形式概念分析领域重要的基础问题之一。针对形式背景离散化的特殊要求，提出了一种可视化的数据离散化方法。该方法借助可视化方法对数据类别分布进行表示，将连续数据分布转换为图形分布，进一步利用视觉模糊性对图形空间进行处理，进而将决策连续背景离散化。通过UCI数据集上的实验表明，与传统离散化方法相比，采用该方法进行数据离散化后的二值形式背景具有结构简单且不失准确性的优点。

英文摘要：

Discretization for decision continuous formal context is one of basic issues in the field of formal concept analysis. According to the special requirements of formal concept analysis field for data discretization, this paper presented a method which is in the form of visualization. This method presented the data distribution by visualization, converted the data distribu- tion to figure distribution, and fuzzy analysis the figure to discretize the decision continuous formal context. The whole progress considered not only the category distribution, but also the fuzzy of the data. The experiments show that compared to the tradi- tional discretization methods, the binary formal context after using this method to diseretize data has the advantages of simple structure and without loss of accuracy.