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Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method

by Hrishikesh Boruah, Tazid Ali, Palash Dutta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 5
Year of Publication: 2012
Authors: Hrishikesh Boruah, Tazid Ali, Palash Dutta
10.5120/6903-9269

Hrishikesh Boruah, Tazid Ali, Palash Dutta . Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method. International Journal of Computer Applications. 46, 5 ( May 2012), 16-20. DOI=10.5120/6903-9269

@article{ 10.5120/6903-9269,
author = { Hrishikesh Boruah, Tazid Ali, Palash Dutta },
title = { Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number5/6903-9269/ },
doi = { 10.5120/6903-9269 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:57.759133+05:30
%A Hrishikesh Boruah
%A Tazid Ali
%A Palash Dutta
%T Sensitivity Analysis in Radiological Risk Assessment using Double Monte Carlo Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 5
%P 16-20
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Sensitivity analysis is a study of how changes in the inputs to a model influence the results of the model. Many techniques are available 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 and the method of calculation is Probability bounds analysis. In this study, an advanced probabilistic technique called the Double Monte Carlo method is applied to estimate the radiological risk due to SR-90 through ingestion of food items. The variables of the risk model along with the parameters of these variables are described in terms of probability distribution (precise and imprecise).

References
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Index Terms

Computer Science
Information Sciences

Keywords

Uncertainty Risk Assessment Double Monte Carlo Sensitivity Analysis

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