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In this paper, by introducing a distance matrix to granulate these real-valued data, a granulated fuzzy rough set model is proposed, which combines fuzziness and roughness into a rough set theoretical framework. By constructing a fuzzy similar relation with a distance matrix form, real-valued data sets can be deal with. We also define some operations on the fuzzy relations and fuzzy granules. Furthermore, two kinds of measures of fuzzy granules are proposed, which are information entropy measure and information granularity measure. These measures are calculated by a novel representation with a fuzzy granule matrix. 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