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Joint Propagation of Ontological and Epistemic Uncertainty across Risk Assessment and Fuzzy Time Series Models

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Figure

Fig. 1. Bounds on the CDF of a normal distribution with  = [0.482, 0.518] and  = [0.0182, 0.0218]
Fig. 2. Monte Carlo vs. Probability Bounds (see also Fig.1): uncertainty regarding the exact value of the parameters of a probability distribution, where  = [0.482, 0.518] and  = [0.0182, 0.0218]
Fig. 4. The fuzzy probability of not exceeding a specific threshold tX.
Fig. 5. A fuzzy quantile corresponding to a given probability.
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