We show that many decision rules exhibit rank reversals if there is incomplete information about the decision maker’s preferences and the two (hypothetical) alternatives for normalizing the additive multiattribute value function are replaced by other alternatives. As a remedy, we determine what rankings the alternatives can attain for value functions that are consistent with the stated preference information and illustrate the use of such rankings in decision support