International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 44 - Issue 17 |
Published: April 2012 |
Authors: Tazid Ali, Hrishikesh Boruah, Palash Dutta |
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Tazid Ali, Hrishikesh Boruah, Palash Dutta . Sensitivity Analysis in Radiological Risk Assessment using Probability Bounds Analysis. International Journal of Computer Applications. 44, 17 (April 2012), 1-5. DOI=10.5120/6352-8769
@article{ 10.5120/6352-8769, author = { Tazid Ali,Hrishikesh Boruah,Palash Dutta }, title = { Sensitivity Analysis in Radiological Risk Assessment using Probability Bounds Analysis }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 44 }, number = { 17 }, pages = { 1-5 }, doi = { 10.5120/6352-8769 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Tazid Ali %A Hrishikesh Boruah %A Palash Dutta %T Sensitivity Analysis in Radiological Risk Assessment using Probability Bounds Analysis%T %J International Journal of Computer Applications %V 44 %N 17 %P 1-5 %R 10.5120/6352-8769 %I Foundation of Computer Science (FCS), NY, USA
Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Engineers often perform sensitivity analysis to explore how changes in the inputs of a physical process or a model affect the outputs. Many techniques are available for use when the model is probabilistic. In this paper we consider a related problem of sensitivity analysis when the model includes uncertain variable that can involve both aleatory and epistemic uncertainty. In this study, we have used Probability Box (P-box) method to estimate the radiological risk of the radionuclide OBT due to ingestion.