知识约简是知识发现中的一项重要任务,它的研究使得在数据中寻找蕴含规则更加简易,但现实中的信息往往都不是一成不变的,随着时间的推移需要不断地对原有信息进行适当更新。本文主要从粒辨识属性矩阵出发,讨论当所研究的形式背景处于更新状态时,如何由原有的粒协调集更新得到新的粒协调集,并讨论了粒辨识属性矩阵的相关性质。
Knowledge reduction is an important researchdirection in knowledge discovery. Its research can make rule acquisition easier from data. However, in the real-world, information updating happens as time goes by. This paper mainly discusses how to get the new granular consistent set when the formal context in an updating state from the perspective of granular discernibility matrix. Finally, some properties about granular discernibility attribute matrix are discussed.