Uncertainty aversion in nonprobabilistic decision models

This paper proposes a definition of uncertainty aversion for nonprobabilistic decision models based on set comparisons and characterizes the decision rules that are uncertainty averse in that sense. Dual results are obtained for uncertainty appeal, and it is shown that imposing an uncertainty-neutrality condition leads to an impossibility result. (C) 1997 Elsevier Science B.V.