Springer International Series in Engineering and Computer Science,
717
0893-3405 ;
The theoretical foundations of granular computing are exceptionally sound and involve set theory (interval mathematics), fuzzy sets, rough sets, and random sets linked together in a highly comprehensive treatment of this emerging paradigm. Granular Computing: An Introduction covers a full spectrum of granular computing from the basic methodology through algorithms and granular worlds, to a representative spectrum of applications. This book will appeal to all developing intelligent systems either working at the methodological level or interested in detailed system realizations. The reader is provided with the underlying material on granular computing, as well as exposed to the current developments where it finds the most visible applications. Furthermore, this book provides an extensive bibliography after each chapter - an indispensable source of information to anyone seriously pursuing research in this rapidly developing area.