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The aim is to present rough granular methodology as a promising and a serviceable tool in modelling of both social agents, interacting under uncertain and incomplete information, as well as systems of such agents. Mathematical and logical tools are used. The paper is partly based on the authoress' earlier results (since 1999). Also some key notions of the rough set theory are recalled. The rough-set...
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