Comparative analysis of statistical, fuzzy, and artificial neural pattern recognition techniques

A common mathematical foundation for the comparative analysis of statistical, fuzzy, and artificial neural pattern recognition or decision making systems is presented. This development uses abstract algebraic techniques to characterize the functions generating decision surfaces and the learning/training processes involved in each technique.