A regression methodology to induce a fuzzy model
Miguel Delgado‐Rodríguez, Antonio Skármeta, L. J. Linares · International Journal of Intelligent Systems · 2001
In this work, we present the induction of a fuzzy model that represents the behavior of a partial known function. We extend the approach of classical induction of a classifier by building a decision tree, and its generalization for regression problems by CART, to build a fuzzy model. It is defined by a collection of fuzzy regions fixed in the input domain of the function. To obtain fuzzy regions of the input domain, we have defined a new method (FCMD) to get a fuzzy partition of a fuzzy set, which generalizes the classical Bezdeck's method FCM. © 2001 John Wiley & Sons, Inc.