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The selection of an efficient physical schema is an NP-complete problem. In this paper, we show that crucial parts of physical database design can be smoothly modelled as a Dempster-Shafer application. We exploit the properties of the Dempster-Shafer theory to model explicitly a rich set of heuristics--used for the selection of an efficient physical schema--into knowledge rules. These rules may be loaded into a knowledge base, which, in turn, can be embedded in database design tools.