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...Obtaining the necessary test data sets can be an obstacle due to both privacy issues and also the time and cost associated with collecting multiple instances of a diverse set of data sources. An efficient alternative is the design and use of synthetic reference data sets to undertake black-box testing. These data sets should be generated in a manner consistent with the functional specification of the problem addressed by the method/software. According to this approach a data set generator was developed for the evaluation of preference disaggregation methods that are used for customer satisfaction analysis, like MUSA (Multicriteria Satisfaction Analysis).