Bayesian networks for information synthesis in complex systems
Pitchforth, Jegar Oliver (2015) Bayesian networks for information synthesis in complex systems. PhD by Publication, Queensland University of Technology.
This thesis introduces a method of applying Bayesian Networks to combine information from a range of data sources for effective decision support systems. It develops a set of techniques in development, validation, visualisation, and application of Complex Systems models, with a working demonstration in an Australian airport environment. The methods presented here have provided a modelling approach that produces highly flexible, informative and applicable interpretations of a system's behaviour under uncertain conditions. These end-to-end techniques are applied to the development of model based dashboards to support operators and decision makers in the multi-stakeholder airport environment. They provide highly flexible and informative interpretations and confidence in these interpretations of a system's behaviour under uncertain conditions.
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|Item Type:||QUT Thesis (PhD by Publication)|
|Supervisor:||Wu, Paul & Fookes, Clinton|
|Keywords:||Bayesian Network, Information Synthesis, Complex Systems, Bayesian, Modelling, Statistics, Airport management, Operations Research, Decision Support Systems|
|Divisions:||Current > Schools > School of Mathematical Sciences
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||13 Mar 2015 07:09|
|Last Modified:||08 Sep 2015 06:29|
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