Title :
Fusion and comparison of multi-granulation rough sets
Author :
Tong-Jun Li ; Wei-Zhi Wu ; Ming-Zhi Li
Author_Institution :
Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
Abstract :
Multi-granulation rough sets are extended rough set models, which are based on a family of equivalence relations on universe of discourse. By applying join or intersection operations of binary relations, in this paper, two binary relations are defined in a multi-granulation approximation space, consequently two types of rough sets are introduced. Subsequently, in the views of approximation space fusion and approximation operator fusion, two types of rough sets in a multi-granulation approximation space are analyzed. Finally, comparison among the multi-granulation rough sets are made, and conditions for these approximation operators to be equivalent are obtained.
Keywords :
approximation theory; equivalence classes; mathematical operators; rough set theory; sensor fusion; approximation operator fusion; binary relations; equivalence relations; intersection operation; join operation; multigranulation approximation space fusion; multigranulation rough set comparison; multigranulation rough set fusion; Abstracts; Approximation methods; Approximation space fusion; Multi-granulation rough sets; Rough sets;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890441