Abstract
In this study, we introduce a concept of a granular fuzzy cognitive map. The generic maps are regarded as graph-oriented models describing relationships among a collection of concepts (represented by nodes of the graph). The generalization of the map comes in the form of its granular connections whose design dwells upon a principle of Granular Computing such as an optimal allocation (distribution) of information granularity being viewed as an essential modeling asset. Some underlying ideas of Granular Computing are briefly revisited.