A knowledge acquisition algorithm for the new representation is designed utilizing tools such as pattern and statistical methods.
并以此为基础，通过模板和统计的方法设计了知识的自动获取算法。
Based on the rough model under the similarity relation, some basic properties are studied, and a knowledge acquisition algorithm based on the similarity relation in decision systems is discussed.
本文基于一种相似关系下的粗糙集模型，给出了一些基本性质，讨论了该相似关系下的决策系统的知识获取算法。
Induction learning of decision tree based on ID3 algorithm is an important branch of inductive learning now, which can be used to automatic acquisition of knowledge.
基于ID 3算法的决策树归纳学习是归纳学习的一个重要分支，可用于知识的自动获取过程。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
Then the membership matrix obtained by clustering algorithm was used to reduce attribute set. Finally, based on entropy, a knowledge acquisition method of fuzzy Rough Set (RS) was put forward.
进而将聚类得到的属性隶属矩阵用于属性约简，并提出一种基于信息熵的模糊粗糙集知识获取的方法。
应用推荐