Abstract:In this paper, we propose a novel data analysis approach that extracts granules suitable for various perspectives by introducing scaling level into formal concept analysis in order to control the level of granularity. Based on our approach, we can extract various granules from the given data set and constructs granular concept hierarchies based on the relations between the granules. Therefore, we can classify the given data with respect to the purpose or the intention of user's viewpoints. And, we developed G-… Show more
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