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With granular computing point of view,this paper first presents a novel rough set model with a multigranulation view,called pessimistic rough decision,where set approximations are defined through using consistent granules among multiple granular spaces on the universe.Then,we investigate several important properties of the pessimistic rough decision model.With introduction of the rough set model,we have developed two types of multigranulation rough sets(MGRS):optimistic rough decision and pessimistic rough decision. These multigranulation rough set models provide a kind of effective approach for problem solving in the context of multi granulations.
With granular computing point of view, this paper first presents a novel rough set model with a multigranulation view, called pessimistic rough decision, where set approximations are through using a complex granules among multiple granular spaces on the universe. of the pessimistic rough decision model. Introduction of the rough set model, we have developed two types of multigranulation rough sets (MGRS): optimistic rough decision and pessimistic rough decision. These multigranulation rough set models provide a kind of effective approach for problem solving in the context of multi granulations.