Generating fuzzy membership functions: A monotonic neural network model

Abstract

A crucial issue in the practical applications of fuzzy sets is to find a fuzzy membership function. This paper suggests that neural networks which use the back propagation learning algorithm under monotonic function constraints can be used in generating fuzzy membership functions. © 1994.