A Comparison Study between ANN and ANFIS for the Prediction of Employee Turnover in an Organization

The purpose of this work is to investigate the employee characteristics and various organizational variables that may result in Employee Turnover. Product innovations and corresponding product variables can be duplicated, but the harmony of an organization's employees can never be replicated, hence they are of utmost importance. Due to this reason, an organization's success and long term growth depends not only on recruiting the new talent but also retaining them. This study will help in explaining what factors make the employees leave. Predicting Employee Turnover may help us in identifying the at-risk employees that have to be retained in the organization, by further facilitating us to be focused on their specific needs or concerns. Two classification methods that were used for the comparison of the prediction accuracy and generalization capabilities are, Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS).