Granular Computing in Fuzzy Modeling and Data Mining

This study is concerned with the concept of information granularity, its representation and use along with a discussion on selected application areas. We discuss several key methodologies involved therein with a particular focus on fuzzy set technology. The agenda of the paper embraces two key issues: (i) underlying fundamentals of information granularity and various ways of processing of information granules and (ii) the use of the methodology of granular computing to a broad range of problems of system modeling, control, and classification. Activities carried out under the auspices of fuzzy sets (fuzzy modeling) as well as data mining and neural networks exploit the ideas of granular computing. We discuss them in more detail highlighting their advantages and design practices.