Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects
edited by: Humberto Bustince, Francisco Herrera, Javier Montero
Methods for the automated induction of models and the extraction of interesting patterns from empirical data have recently attracted considerable attention in the fuzzy set community. This chapter briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. Finally, a critical consideration of recent developments is given and some suggestions regarding future research are made.