An intuitionistic fuzzy version of the nearest prototype classification method, based on a moving-of-pattern procedure

An intuitionistic fuzzy version of one of the statistical nonparametrical m ethods, the nearest prototype (NP) method, is proposed. The degrees of memb ership, nonmembership and indeterminacy (uncertainty) of a pattern with unk nown classification to a given class have been evaluated taking into accoun t the distance to the prototype (mean) vector of that class. The confidence in the classification made is enhanced by means of a procedure of moving o f the pattern towards the classes. The moving is based on the correlation c oefficients and the distances to the class prototypes. In this way the degr ees are being modified and adjusted, getting more precise values and aiming to decrease and possibly eliminate the indeterminacy. The procedure stops when the uncertainty is made negligibly small.