Part I Educational and Human-related Issues.- Part II Aggregation.- Part III Image Processing and Pattern Recognition.- Part IV Classification and Clustering.- Part V Data Analysis and Its Applications.- Part VI Optimization and Differential Equations.- Part VII Evolutionary Methods in Applications.- Part VIII Control and Modeling.- Part IX Soft Computing in Informatics.

This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May 25-27, 2014, in Berkeley. The book covers a wealth of key topics in soft computing, focusing on both fundamental aspects and applications. The former include fuzzy mathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregation and neural networks, while the latter include soft computing in data analysis, image processing, decision-making, classification, series prediction, economics, control, and modeling. By providing readers with a timely, authoritative view on the field, and by discussing thought-provoking developments and challenges, the book will foster new research directions in the diverse areas of soft computing.  

Offers a timely update on theories, methods and applications in different areas of soft computing Highlights innovative developments and Includes selected contributions presented at the 4th World Conference on Soft Computing, May 25-27, 2014, Berkeley Includes supplementary material: sn.pub/extras

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