Abstract
The study is concerned with a concept of granular models, which form a generalization of (numeric) models commonly encountered in system modeling. Granular models are developed in the setting of Granular Computing and are predominantly concerned with the processing information granules forming conceptual and functional blocks of models. In particular, the parameters of these models are represented in the form of information granules. We discuss an origin and offer a motivation behind the construction of granular models. To make this study self-contained, a brief introduction to the formalism of information granules (including sets, fuzzy sets, rough sets, and shadowed sets) is presented with an emphasis placed on the key characteristics of these constructs and a role they play in system modeling.
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Pedrycz, W. Granular Computing as a Framework of System Modeling. J Control Autom Electr Syst 24, 81–86 (2013). https://doi.org/10.1007/s40313-013-0010-9
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DOI: https://doi.org/10.1007/s40313-013-0010-9