This book presents extensions of papers from the Rough Sets and Knowledge Technology Conference held in October 2011, along with a longer paper based on a PhD thesis. Together, they explore both the theory and applications of rough, fuzzy and near sets.

Generalized Probabilistic Approximations.- An Extension to Rough c-Means Clustering Algorithm Based on Boundary Area Elements Discrimination.- Granular Computing: Topological and Categorical Aspects of Near and Rough Set Approaches to Granulation of Knowledge.- The Concept of Reducts in Pawlak Three-Step Rough Set Analysis.- Nearness of Subtly Different Digital Images.- Semantic Clustering of Scientific Articles Using Explicit Semantic Analysis.- Maximal Clique Enumeration in Finding Near Neighbourhoods.- On Fuzzy Topological Structures of Rough Fuzzy Sets.- Approximation of Sets Based on Partial Covering.