DocumentCode :
3431975
Title :
Variable precision multi-granulation rough set
Author :
Wei, Wei ; Liang, Jiye ; Qian, Yuhua ; Wang, Feng
Author_Institution :
Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
536
Lastpage :
540
Abstract :
Multi-granulation rough set model is an important generalization of Pawlak´s rough set model. To enhance its capability of dealing with noisy data, in this paper, we proposed the variable precision multi-granulation rough set model and the variable precision weighted multi-granulation rough set model by loosing the requirement of accuracy on each granulation. Furthermore, we gave some important properties, and analyzed the relationships between existing multi-granulation rough set models and the proposed models.
Keywords :
Analytical models; Granular computing; Multi-granulation; Rough set; Variable precision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2012 IEEE International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4673-2310-9
Type :
conf
DOI :
10.1109/GrC.2012.6468650
Filename :
6468650
Link To Document :
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