Humans are significantly impacted by environmental pollutants that come from many artificial or man-made sources. The largest percentage of the radiation exposure to humans comes from the natural environment. Another cause of environmental contamination is the development of industry. Human exposure mostly occurs through air inhalation, water intake, food consumption, etc.
Therefore, it is necessary to conduct an assessment to ascertain the degree to
which hazardous compounds' discharge into the environment would have an adverse
effect on human health. In order to quantify the level of risk posed to people
by environmentally dangerous chemicals, health risk assessments are performed.
The Environmental Protection Agency, USA's health risk assessment models
(EPA-USA, 2010) are used for this purpose. Models for assessing health risk
depend on variables that are often of an unclear nature. To cope with the
uncertain model parameters, a variety of fuzzy number types are taken into
consideration. Additionally, a variety of arithmetic techniques are used to
combine the fuzzy input values. Risk analyses for human health will now be
carried out.
The Dempster-Shafer theory of evidence (DST) is next examined, and for that
purpose, we first provide three methods for determining BPA when just the
parameter's lowest, maximum, and most probable values are known. The arithmetic
combination of interval focal elements is described in a similar manner. We
talk about fuzzy focal elements and explain how to combine fuzzy focal elements
using Dempster's rule. For fuzzy focal elements, we expanded the concept of the
arithmetic combination of interval focal elements. The proposed arithmetic
combination of focal elements (PACF) and Yager arithmetic combination of focal
elements (YACF) are used to estimate risk for interval focal elements, and
results are examined. Finally, fuzzy focus elements are used to do risk
evaluation.
Few parameters in health risk assessment models are represented
probabilistically, with mean and standard deviation (variance) provided as
interval or fuzzy values. Some additional factors, however, are thought to be
possibilistic. Therefore, the hybrid framework is also used for risk
assessment.
Additionally, risk evaluation is carried out employing Probability-Possibility
transformations. Similarly, utilising three separate situations and a
probability-possibility transformation that satisfies consistency requirements,
we have offered a comparative case study of the propagation of uncertainty.
Author(s) Details:
Department of Mathematics, Dibrugarh University, Dibrugarh: Assam, India.
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