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

  • Ahmet Oztekin
  • James T. Luxhøj
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)


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.


Causal Factor Bayesian Network Subject Matter Expert Unman Aircraft System Conditional Dependency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This research is supported by Federal Aviation Administration grant number 08-G-002. The contents of this paper reflect the views of the authors who are solely responsible for the accuracy of the facts, analyses, conclusions, and recommendations represented herein, and do not necessarily reflect the official view or policy of the Federal Aviation Administration.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Department of Industrial and Systems EngineeringRutgers UniversityPiscatawayUSA

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