Generating fuzzy rule base classifier for highly imbalanced datasets using a hybrid of evolutionary algorithms and subtractive clustering
M. Mahdizadeh, Mahdi Eftekhari · Journal of Intelligent & Fuzzy Systems · 2014
In this paper, a design methodology is proposed for generating a fuzzy rule-based classifier for highly imbalanced datasets (only binary classification problems). The classifier is based on sugeno-type fuzzy inference system (FIS) and is generated us