Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems

The inductive learning of a fuzzy rule-based classi®cation system (FRBCS) is made dicult by the presence of a large number of features that increases the dimensionality of the problem being solved. The diculty comes from the exponential growth of the fuzzy rule search space with the increase in the number of features considered in the learning process. In… CONTINUE READING