Title :
Matroidal structure of covering rough sets based on multigranulation
Author :
Huang, Jing ; Zhu, William
Author_Institution :
Department of Mathematics, Zhangzhou normal University, 363000, China
Abstract :
Multigranulation rough sets provide an effective way to extend the classical rough sets based on single granulation to multigranulation. Covering rough set is a generalisation of classical rough set. This paper extends single granulation matroid to multigranulation matroid based on covering rough set. On one hand, we construct a multigranulation matroid through union of several independent sets. Then we define a multigranulation rank function from many single granulation rank functions. Moreover, a pair of multigranulation matroid approximation operators are described by the multigranulation rank function and properties of these approximation operators are studied. We present the relationship between the multi-granulation matroid approximations and the multigranulation approximations in rough set model. On the other hand, we propose a dual multigranulation matroid. Furthermore, the multigranulation rank function and multigranulation approximation operator of the dual multigranulation matroid are obtained.
Keywords :
Approximation methods; Artificial intelligence; Approximation operators; Matroid; Multigranulation; Rough sets;
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.2012.6468577