Aggregation and Fusion of Imperfect Information

This book explores key methods for aggregating information from multiple sources and fusing data, particularly when knowledge is imperfect due to uncertainty or imprecision. It covers theoretical and applied studies across frameworks like probability, evidence, fuzzy set, and possibility theory, with a focus on managing both imprecise and uncertain knowledge. Readers will find a comprehensive overview of methodologies and advanced results, alongside applications in decision-making, image processing, control, and classification.