Matroidal structure of generalized rough sets based on symmetric and transitive relations
–arXiv.org Artificial Intelligence
Rough sets are efficient for data pre-process in data mining. Lower and upper approximations are two core concepts of rough sets. This paper studies generalized rough sets based on symmetric and transitive relations from the operator-oriented view by matroidal approaches. We firstly construct a matroidal structure of generalized rough sets based on symmetric and transitive relations, and provide an approach to study the matroid induced by a symmetric and transitive relation. Secondly, this paper establishes a close relationship between matroids and generalized rough sets. Approximation quality and roughness of generalized rough sets can be computed by the circuit of matroid theory. At last, a symmetric and transitive relation can be constructed by a matroid with some special properties.
arXiv.org Artificial Intelligence
Dec-16-2012
- Country:
- North America > Canada (0.04)
- Asia > China
- Fujian Province (0.04)
- Beijing > Beijing (0.04)
- Genre:
- Research Report (0.70)
- Technology: