Soft computing comprises various paradigms dedicated to approximately
solving real-world problems, e.g. in decision making, classification or
learning; among these paradigms are fuzzy sets, rough sets, neural
networks, genetic algorithms, and others.
It is well understood now in the soft computing community that hybrid
approaches combining various paradigms are very promising approaches for
solving complex problems. Exploiting the potential and strength of both
neural networks and rough sets, this book is devoted to rough-neuro
computing which is also related to the novel aspect of computing based
on information granulation, in particular to computing with words. It
provides foundational and methodological issues as well as applications
in various fields.