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Reseach Article

A Hybrid Method to Deal with Aleatory and Epistemic Uncertainty in Risk Assessment

by Palash Dutta, Tazid Ali
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 42 - Number 11
Year of Publication: 2012
Authors: Palash Dutta, Tazid Ali
10.5120/5740-7930

Palash Dutta, Tazid Ali . A Hybrid Method to Deal with Aleatory and Epistemic Uncertainty in Risk Assessment. International Journal of Computer Applications. 42, 11 ( March 2012), 37-43. DOI=10.5120/5740-7930

@article{ 10.5120/5740-7930,
author = { Palash Dutta, Tazid Ali },
title = { A Hybrid Method to Deal with Aleatory and Epistemic Uncertainty in Risk Assessment },
journal = { International Journal of Computer Applications },
issue_date = { March 2012 },
volume = { 42 },
number = { 11 },
month = { March },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume42/number11/5740-7930/ },
doi = { 10.5120/5740-7930 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:31:05.716540+05:30
%A Palash Dutta
%A Tazid Ali
%T A Hybrid Method to Deal with Aleatory and Epistemic Uncertainty in Risk Assessment
%J International Journal of Computer Applications
%@ 0975-8887
%V 42
%N 11
%P 37-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Risk assessment is an important and significant aid in the decision making process. Risk assessment is performed using ‘model’ and a model is a function of parameters which are usually affected by uncertainty. Some model parameters are affected by aleatory uncertainty and some others are affected by epistemic uncertainty. In this paper we propose a hybrid method to deal with propagation of both kinds of uncertainty within the same computation of risk.

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Index Terms

Computer Science
Information Sciences

Keywords

Uncertainty Risk Assessment Monte Carlo Simulation Probability Theory Possibility Theory