Toward Data Science Computing Model: Interactive Granular Computing (IGrC) (short paper)

Rough sets, introduced by Zdzisaw Pawlak [1], play a crucial role in the development of Granular Computing (GrC) [2–4]. The extension of GrC to Interactive Granular Computing (IGrC) (initiated by Skowron and co-workers [5–7]5), requires generalization of the basic concepts of rough sets and GrC. For instance, it is needed to shift from granules to complex granules (including both physical and abstract parts), information (decision) systems to interactive information (decision) systems as well as methods of inducing hierarchical structures of information (decision) systems to methods of inducing hierarchical structures of interactive information (decision) systems. IGrC takes into account the granularity of information as used by humans in problem solving, as well as interactions with (and within) the real physical world. The computations in this IGrC model are realized on the interactive complex granules and that must be based on the consequences of the interactions occurring in the physical world. It is worthwhile to cite here the following opinion [8]:

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