English

Matroidal structure of generalized rough sets based on symmetric and transitive relations

Artificial Intelligence 2012-12-18 v2

Abstract

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.

Cite

@article{arxiv.1209.5470,
  title  = {Matroidal structure of generalized rough sets based on symmetric and transitive relations},
  author = {Bin Yang and William Zhu},
  journal= {arXiv preprint arXiv:1209.5470},
  year   = {2012}
}

Comments

5 pages

R2 v1 2026-06-21T22:10:28.644Z