Gaussian Membership Function used for Voice Recognition in Fuzzy Logic
Shruti Agarwal, Anshika Agarwal, Prabhakar Gupta · International Journal of Recent Technology and Engineering (IJRTE) · 2020
Gaussian Membership function of a fuzzy set is a generalization form which is used to classify the human voice either based gender or age group. Membership functions were introduced by Zadeh in the first paper on fuzzy sets in the year 1965. In this paper we describe Gaussian membership function which we used to implement the simulation or classification of the human according to their age in fuzzy logic. A Gaussian Membership Function (MF) is a curve that defines how each point in the input space is mapped to a membership value (or degree of membership) between 0 and 1.