从数据集构建概念格的过程实际上是概念聚类的过程,概念格在本质上描述了对象和属性之间的联系,它的Hasse图则实现了对数据的可视化.本文在增加对象、增加属性、删除对象、删除属性四种情况下讨论了概念格结构的变化,给出了概念格结构变化、更新概念、产生子概念的判定方法和判定定理,研究了数据变化时如何对已经构造好的概念格进行维护,使概念格与当前数据集相一致.
The construction of concept lattice from the data set is actually the process of conceptual clustering. Concept lattice, in essence, describes the link between objects and attributes, and its Hasse diagram achieves visualization of the data. In this paper, we discuss the changes in the structure of the concept lattice in case of adding object, adding attribute, deleting object and deleting attribute. We present the judge approach and judge theorem to the structure change of the concept lattice, modified concepts and generating sub-concepts. In order to make the concept lattice consistent with the current data set, we also show the maintenance method for the concept lattice when the data is changed.