Abstract

This paper presents a novel model that combines several interesting features in relation with rough sets, namely multi-granularity (which extends Pawlak’s single-granular approach), soft rough sets (where the granulation structure is defined by soft sets), and coverings that induce rough sets. Optimistic and pessimistic multi-granular models are the outcome of this hybridization. Their properties, relationships, and links with existing models are thoroughly explored. Finally, an application of the model to multi-criteria group decision making is put forward. Examples and graphical discussions illustrate the performance of this criterion.

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