Comparar métodos

	Análisis de Árbol de Eventos Híbrido	Análisis de Árbol de Sucesos (ETA)
Campo	Diseño experimental	Fiabilidad
Familia	Process / pipeline	Process / pipeline
Año de origen	1990s–2000s (as extensions to classical ETA developed from the 1960s)	2002
Autor original	Multiple contributors; hybrid extensions emerged from the reliability and safety engineering community	Andrews & Moss
Tipo	Probabilistic risk and safety assessment technique	Forward inductive logic tree
Fuente seminal	Bedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773201	Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5
Alias	Hybrid ETA, Integrated Event Tree Analysis, Combined Event Tree Analysis, Fuzzy-Bayesian Event Tree Analysis	ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
Relacionados	6	2
Resumen	Hybrid Event Tree Analysis (Hybrid ETA) extends classical Event Tree Analysis by integrating complementary methods — such as Bayesian networks, fuzzy set theory, or Monte Carlo simulation — to overcome ETA's limitations in handling uncertainty, dependency between events, and sparse data. It is applied in safety-critical industries to model accident sequences and quantify outcome probabilities with greater fidelity than standalone ETA.	Event Tree Analysis (ETA) is a forward inductive technique used in reliability and risk engineering to model the possible outcomes that follow an initiating event. Starting from a single undesired event, ETA traces all subsequent event sequences through a binary branching tree representing the success or failure of safety barriers and protective systems. Introduced formally in reliability and risk literature by Andrews and Moss (2002), it is widely applied in nuclear, chemical, and aerospace industries to quantify accident sequence probabilities and guide safety decision-making.