Uncertainty in noise mapping: Comparing a probabilistic and a fuzzy set approach

Complex georeferenced simulation resulting in immission maps loose credibility because of lacking or poor quality input data and model approximations. For modeling the resulting imperfection in the maps, several techniques can be used. In this paper we briefly compare a probabilistic approach implemented using Monte Carlo and a Fuzzy Approach. The theoretical foundations are highlighted and their consequences for the simulations are outlined. An experiment is set up to compare practical results of both techniques. Despite numerical differences in results, both techniques prove usable while the Fuzzy Approach has a clear advantage in calculation speed compared to a Monte Carlo Approach.