The paper deals with practical aspects of decision making under uncertainty on finite sets. The model is based on {\em marginal problem}. Numerical behaviour of 10 different algorithms is compared in form of a study case on the data from the field of rheumatology. (Five of the algorithms types were suggested by A. Perez.) The algorithms (expert systems, inference engines) are studied in different {\em situations} (combinations of parameters).