There exist two formulations of rough sets: the conceptual and computational one. The conceptual or semantical approach of rough set theory focuses on the meaning and interpretation of concepts, while algorithms to compute those concepts are studied in the computational formulation. However, the research on the former is rather limited. In this paper, we focus on a semantically sound approach o...

Relational data has become increasingly important in decision analysis recent years, and so mining knowledge which preserves relationships between objects is an topic. Graphs can represent the contains objects. Rough set theory provides effective tool for extracting knowledge, but it not sufficient to extract containing on In order extend application scope enrich rough theory, essential develop...

Rough set theory introduced by Pawlak [8] is based on equivalence relations. The definition of basic rough sets depends upon a single equivalence relation defined on the universe or several equivalence relations taken one each taken at a time. In the view of granular computing, classical rough set theory is based upon single granulation. The basic rough set model was extended to rough set model...