Create a fuzzy TSK model to classify samples of multivariable, nonlinear functions.
Datasets used:
Dataset 1: Haberman's Survival Dataset
Dataset 2: Epileptic Seizure Recognition Dataset
This is an experimental application developed as part of the course "Fuzzy Systems" assignment, that took place in the Department of Electrical & Computer Engineering at Aristotle University of Thessaloniki in 2020.
The first dataset [D 1] will be used for a simple exploration of the training process and evaluation of such models and demonstrating ways of analyzing and interpreting the results. The second and more complex dataset [D 2] will be used for a more complete modeling process, which includes preprocessing steps, such as Features Selection, as well as methods for model optimization through cross validation.