Title :
Rules mining in hierarchical rough sets
Author :
Yang, Wei ; Miao, Duoqian ; Feng, Qinrong
Author_Institution :
Department of Computer Science and Technology, Tongji University, Shanghai, China 201804
Abstract :
A novel algorithm is proposed in this paper, which can process the higher level of conditional attribute and the decision attribute at the same time. When building the higher level decision table for simplifying the decision table based on concept hierarchies tree, the inconsistent objects may be appeared because of exchanging lower level attributes values with higher level attributes values. For solving this problem, we propose that the attribute values in different levels may be used in a decision table. In order to substantiate the conceptual arguments numerical examples are given.
Keywords :
Abstracts; Art; Joints; Rough sets; Multi-hierarchy; Reduction; Rough set; Rules mining;
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
DOI :
10.1109/GrC.2012.6468587