Abstract: In many real classification problems where a limited number of training samples is available, the linear classifiers based on discriminant analysis are unable to deliver accurate results.

Abstract: Methods for constructing membership functions for one-dimensional numerical fuzzy sets based on expert data are presented. For this purpose, various approaches are used, based on ...