Over the past years, technological developments have led to a decrease of accidents due to technical failures through the use of redundancy and protection. However, the "human factor" contributes significantly in accident dynamics, both statistically and in terms of severity of consequences. In fact, estimates agree that the errors committed by man are causes over 60% of accidents and for the remaining part the causes are due to technical deficiencies. This paper deals with various aspects of human behavior that can influence operator reliability, considering the environment in which operator is working. The aim of the research is to propose a fuzzy cognitive map capable to represent human knowledge where the relationships are difficult to describe in mathematical terms.
A fuzzy cognitive maps model to develop a risk analysis model through the identification of critical human factors
LONGO, Francesco
2015-01-01
Abstract
Over the past years, technological developments have led to a decrease of accidents due to technical failures through the use of redundancy and protection. However, the "human factor" contributes significantly in accident dynamics, both statistically and in terms of severity of consequences. In fact, estimates agree that the errors committed by man are causes over 60% of accidents and for the remaining part the causes are due to technical deficiencies. This paper deals with various aspects of human behavior that can influence operator reliability, considering the environment in which operator is working. The aim of the research is to propose a fuzzy cognitive map capable to represent human knowledge where the relationships are difficult to describe in mathematical terms.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
