Uncertainty modelling of atmospheric dispersion model using fuzzy set and imprecise probability

摘要: Analytical investigation of any atmospheric dispersion model for nuclear industry is very much essential from the point that always provides knowledge air quality and it guides decision maker to play their role in applying various protective measures mitigate consequence radiation emergency if at all occurs. On basis study, health risk member public or occupational worker can be assessed. In context this deterministic analysis does not provide correct estimate time integrated concentration result as an outcome because parametric values under concerned are uncertain. Uncertainty these parameters being random well fuzzy, investigate with respect both types uncertainties viz. a aleatory uncertainty due randomness b epistemic vagueness lack information. This article will explore approach wherein some represented by fuzzy set addressed probabilistic combination finally variable. Due admixture new formalism computing given name imprecise-probability modelling. New methodology quantification demonstrated case which contaminant during leakage ammonia through industrial facility selected target model.