Acta Polytechnica Hungarica, vol.19, no.10, pp.49-60, 2022 (SCI-Expanded)
It is known that, due to the Central Limit Theorem, the probability distribution of the uncertainty of the result of data processing is, in general, close to Gaussian – or to a distribution from a somewhat more general class known as infinitely divisible. We show that a similar result holds in the fuzzy case: namely, the membership function describing the uncertainty of the result of data processing is, in general, close to Gaussian – or to a membership function from an explicitly described more general class.