Table of Contents

Rough-Granular Computing in Human-Centric Information Processing.- Integrative Levels of Granularity.- Affinities between Perceptual Granules: Foundations and Perspectives.- Concept Granular Computing Based on Lattice Theoretic Setting.- Interpretability of Fuzzy Information Granules.- Semantic Driven Fuzzy Clustering for Human-Centric Information Processing Applications.- Many-Valued Logic Tools for Granular Modeling.- Type-2 Fuzzy Logic and the Modelling of Uncertainty in Applications.- Interval Type-2 Fuzzy Logic Applications.- Processing of Information Microgranules within an Individual’s Society.- Autonomous Composition of Fuzzy Granules in Ambient Intelligence Scenarios.- Information Processing in Biomedical Applications.- Gene Interactions Sub-networks and Soft Computing.- Uncertain Identification Problems in the Context of Granular Computing.- Visualizing Huge Image Databases by Formal Concept Analysis.- Artificial Dendritic Cells: Multi-faceted Perspectives.