A Classification Approach of Granules Based on Variable Precision Rough Sets
Shen-Ming Gu, Wei-Zhi Wu, Hongtao Chen · 2007
The key to granular computing (GrC) is to make use of granules in problem solving. Classification is one of important problems in machine learning and data mining. With view of granular computing, this paper presents a classification approach to granules based on the variable precision rough set (VPRS) model. An algorithm is proposed and a tree structure of granules is given.