TY - JOUR
T1 - Fuzzy approach for reducing subjectivity in estimating occupational accident severity
AU - Nunes, Isabel L.
AU - Ribeiro, Maria Rita Sarmento de Almeida
PY - 2012/1/1
Y1 - 2012/1/1
N2 - Quantifying or, more generally, estimating the severity of the possible consequences of occupational accidents is a decisive step in any occupational risk assessment process. Because of the lack of historic information (accident data collection and recording are incipient and insufficient, particularly in construction) and the lack of practical tools in the construction industry, the estimation/quantification of occupational accident severity is a notably arbitrary process rather than a systematic and rigorous assessment. This work proposes several severity functions (based on a safety risk assessment) to represent biomechanical knowledge with the aim of determining the severity level of occupational accidents in the construction industry and, consequently, improving occupational risk assessment quality. We follow a fuzzy approach because it makes it possible to capture and represent imprecise knowledge in a simple and understandable way for users and specialists.
AB - Quantifying or, more generally, estimating the severity of the possible consequences of occupational accidents is a decisive step in any occupational risk assessment process. Because of the lack of historic information (accident data collection and recording are incipient and insufficient, particularly in construction) and the lack of practical tools in the construction industry, the estimation/quantification of occupational accident severity is a notably arbitrary process rather than a systematic and rigorous assessment. This work proposes several severity functions (based on a safety risk assessment) to represent biomechanical knowledge with the aim of determining the severity level of occupational accidents in the construction industry and, consequently, improving occupational risk assessment quality. We follow a fuzzy approach because it makes it possible to capture and represent imprecise knowledge in a simple and understandable way for users and specialists.
U2 - 10.1016/j.aap.2011.07.015
DO - 10.1016/j.aap.2011.07.015
M3 - Article
C2 - 22269511
SN - 1879-2057
VL - 45
SP - 281
EP - 290
JO - Accident Analysis & Prevention
JF - Accident Analysis & Prevention
IS - 2
ER -