A hybrid approach of intelligent systems to help predict absenteeism at work in companies

摘要: In recent years, several surveys have been conducted on absenteeism and how this affects the routine of conducting productive operations in companies. Therefore, having criteria for predicting at work can help managers contingency actions reduce financial losses due to absence a worker their workplace. The objective is apply artificial intelligence concepts regularized fuzzy neural network, which combines benefits networks with set theory obtain more accurate results corporate absenteeism. database called work, taken from UCI Machine Learning Repository, captured elements Brazilian company, was applied network model that allows calculation regressors, defining estimate lack hours an employee. experiments prove intelligent creation specialist system assists prediction