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
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.