Implementation of fuzzy max-min neural controller
Yoichi Hayashi, James J. Buckley · 2002
We consider a fuzzy controller that processes fuzzy data in which error, change in error, etc. are all fuzzy sets. We construct, and train, a new type of neural net to model the fuzzy controller. Properties of this new type of neural net include: (1) max-min operations; and (2) a modified delta rule for learning. An example is presented showing the applicability of our fuzzy max-min neural controller.