Imbalanced classification are those classification tasks where the distribution of examples across the classes is not equal. Cut through the equations, Greek le

This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explore