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By using belief decision matrices to model MCDA problems, both qualitative and quantitative information with various types of uncertainties can be taken into account in decision-making processes in a unified and logical format. Following an illustration of the ER approach and an outline of the selection problem, it is described how the ER approach can be used to model the problem, aggregate information, and facilitate sensitivity analysis. 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