Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/11593
Título: Procedimento fuzzy aplicado a avaliação da insalubridade em atividades agrícolas
Título(s) alternativo(s): Fuzzy procedure applied to evaluate the insalubrity level in agriculture activities
Palavras-chave: Bem-estar humano
Modelagem matemática
Sistema especialista
Human well-being
Mathematical modeling
Expert systems
Data do documento: 2012
Editor: Associação Brasileira de Engenharia Agrícola
Citação: YANAGI JUNIOR, T. et al. Procedimento fuzzy aplicado a avaliação da insalubridade em atividades agrícolas. Engenharia Agrícola, Jaboticabal, v. 32, n. 3, p. 423-434, maio/jun. 2012.
Resumo: Given the high degree of mechanization to which agricultural activities are being submitted, the objective of this research was to develop a fuzzy model able to evaluate and classify the insalubrity level in different work environments. The model developed has as input variables: wet bulb globe temperature index (WBGTI, °C), noise level (dBA), metabolic rate (W m-2) and rest time (%); and has as output variable the human well-being index (HWBI). The Mamdani inference method was used, and for the defuzzification, the Center of Gravity method was used. The system of rules was developed based on combinations of input variables. Four hundred rules were defined, with weights equal to one, considering that in the development of rules, a specialist was consulted. Field data were used in order to test the developed system. The results showed that the proposed model is a promising tool in determining the HWBI, presenting the ideal rest time ranging from 64.2% (chainsaw, near the operator's ear) to 25% (harvester, 20 meters away from the operator), and, given a pre-defined scenario of thermal and acoustic environment, it was possible to determine the degree of human well-being and the ideal rest time for each equipment evaluated.
URI: http://repositorio.ufla.br/jspui/handle/1/11593
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