Content MCML aims to fill the key gap between traditional machine learning and cognitive computing. The mesoscopic cognitive approach, within the framework of rough set’s knowledge granularity, integrates the knowledge reduction capability of rough sets and the hierarchical characteristics of human cognition, enabling a more comprehensive modeling and expression of knowledge reasoning. This workshop will […]

Content The Workshop “Conceptual structures and set approximations: A dialogue between Formal Concept Analysis and Rough Sets ” explores the powerful methodological and theoretical connections between Formal Concept Analysis (FCA) and Rough Set Theory (RS). Both frameworks offer distinct yet complementary approaches to handling imperfect, complex, and granular data, making them crucial tools in fields […]

Content Soft computing offers a rich set of techniques—such as fuzzy logic, neuro-computing, probabilistic reasoning, and evolutionary methods—that enable the modeling and analysis of systems characterized by uncertainty, partial information, and structural complexity. As many real-world problems increasingly involve imprecision and dynamically changing data, these approaches have become essential for building flexible, robust, and interpretable […]

IJCRS2026 will host the following workshops: Soft Computing and Fuzzy Logic: Advances, Synergies, and Applications Organizers: Javier Cabrerizo, University of Granada, Spain Bernard De Baets, University of Ghent, Belgium Ondrej Krejcar, University of Hradec Kralove, Czech Republic Ignacio J. Pérez Gálvez, University of Granada, Spain Conceptual structures and set approximations: A dialogue between Formal Concept […]