The assessment of a Bernoulli utility function is often accomplished b
y an approximation process which makes use of ever more information on
the preference as it is elicited from a decision maker. Simultaneous
approximations of the utility function and the underlying distribution
s are generally not sufficient for the expectations to converge to the
expected value of the respective limits. We give various sufficient s
tability conditions for the expected utility. All these conditions con
tain some ''uniformness.'' (C) 1995 John Wiley & Sons, Inc.