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Uncertainty Quantification of Parameters for Associated Risk to Human Health Due to Heavy Metal Content in Drinking Water using Possibility Theory: A Case Study in Ingestion
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 67 |
| Year of Publication: 2025 |
| Authors: Hrishikesh Boruah |
10.5120/ijca2025924480
|
Hrishikesh Boruah . Uncertainty Quantification of Parameters for Associated Risk to Human Health Due to Heavy Metal Content in Drinking Water using Possibility Theory: A Case Study in Ingestion. International Journal of Computer Applications. 186, 67 ( Feb 2025), 21-24. DOI=10.5120/ijca2025924480
Abstract
The main aim of risk assessment is to determine the potential detriment to human health from exposure to a substance or activity that under plausible circumstances can cause to human health. Risk assessment models involve inputs which may not be precisely known [7]. The uncertainty of the inputs gets propagated to the output risk. So, we need to quantify the uncertainty so as to be aware of the risk involved in any decision making process. Uncertainties can be modeled and analyzed using different theories, viz. Probability theory, Possibility theory, Evidence theory etc. Modeling of an uncertain parameter depends on the nature of the information available[1]. In this paper, I considered uncertainty quantification of parameters in the case of radiological risk assessment. I have analyzed the propagation of the risk in terms of Possibility theory (Fuzzy theory). Fuzzy method is discussed in this paper, taking the parameters of the input of the model as Fuzzy number. A case study is carried out with this method taking the parameters of the input as triangular Fuzzy Number.
References
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