The paper addresses current issues related to modelling and uncertainty representing in quantitative risk evaluations. The problem is practically important because there are requirements to make uncertainty assessment of probabilistic and risk measures. Potential sources of uncertainty are discussed and theoretical frameworks for uncertainty representing are reviewed. For complex hazardous systems consisting of not well-defined components and failure events the possibilistic framework is proposed for the interval probabilistic and risk assessments.
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