Complex Risk and Uncertainty Modeling for Emergent Aviation Systems: An Application

Ahmet Oztekin () and James T. Luxhøj ()
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Ahmet Oztekin: Rutgers University
James T. Luxhøj: Rutgers University

A chapter in Safety and Risk Modeling and Its Applications, 2011, pp 263-298 from Springer

Abstract: Abstract Modeling complex systems is a very broad area of research where, more often than not, a multi-disciplinary approach is needed to achieve a meaningful representation of the subject matter. The analytical methods employed along the process remain as much an art as science, especially, if the subject matter is safety and risk analysis of a real-world system. One aspect that particularly increases the complexity of modeling is the fact that many real-world systems naturally include both discrete and continuous variables.

Keywords: Causal Factor; Bayesian Network; Subject Matter Expert; Unman Aircraft System; Conditional Dependency (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-0-85729-470-8_10

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