Modelagem fuzzy em parâmetros de bem-estar humano

Abstract

Given the concerns about the work environment and consequently the well-being of workers, this study aimed to evaluate the use of fuzzy mathematical modeling in assessing of the farm workers health, related to thermal and acoustic environment. So, were considered as input variables of the system, the wet bulb globe temperature index (WBGT, °C) and noise level (dB (A)), and the output variable was the human well-being index (HWBI). The inference method used was the Mandani and in the defuzzification, we used the center of gravity method. Twenty five rules have been used to represent these data, and for each rule were assigned a weight equal 1. The results indicate that the mathematical model has a satisfactory methodology to assist in the making decision and daily analysis.