Several developments in recent years require essential progresses in the field of information processing, especially in information organization and aggregation. The Artificial Intelligence (A.I.) domain specifically needs new methods for information organization and aggregation. On the other hand, the information systems in general, and the Internet-based systems specifically, have reached a bottleneck due to the lack of the right tools for selecting the right information, aggregating information, and making use of the results of these operations. In a parallel development, cognitive sciences, behavioral sciences, economy, sociology, and other human-related sciences, new theoretical tools are needed to deal with and better explain how humans select, organize, and aggregate information in relation to other information processing tasks, goals, and knowledge the individuals have. This volume should be placed in this context and in relation to the development of fuzzy systems theory, specifically for the development of systems for information processing and knowledge discovery. The contributors to this volume review the state of the art and present new evolutions and progresses in the domain of information processing and organization in and by fuzzy systems and other types of systems using uncertain information. Moreover, information aggregation and organization by means of tools offered by fuzzy logic are dealt with. This volume addresses in the first place the graduate students, doctoral students and researchers in computer science and information science. Researchers and doctoral students in other fields, like cognitive sciences, robotics, nonlinear dynamics, control theory, and economy may be interested in several chapters in this volume.