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Many papers on modeling uncertain or fuzzy spatial data are based on probability functions or fuzzy set functions. However, few of them specify how to actually compute these in a real system. This paper presents a way to use Delaunay triangulations to compute the values of such functions for uncertain spatial objects represented in a vector model. The paper also contains an algorithm that uses this...