This paper applies a probabilistic-based approach as a methodology to analyze and compare the mould growth computations’ results from three different mould models. This approach, instead of the conventional deterministic ones, offers the advantage of accounting for uncertainties concerning prediction of mould growth. The results are able to demonstrate more realistic and conclusive outcomes that can be applicable to real-life situations.
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Gradeci et al. (2017) studied this question.
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