Rough Fuzzy Hybridization

Fuzzy sets, which have proven applications in such fields as control systems and pattern recognition, provide an effective means of describing the behavior of systems which are too complex or too ill-defined for classical methods of analysis. The present volume describes, in a unified way, the basic concepts and characteristic features of these theories and integrations, including recent developments, trends, and significant applications.