This publication offers insights into the
realities of high-stakes engineering decision-
making in the investigative and corporate sectors
by optimizing engineering decision variables to
maximize payoff.

Decision making under uncertainty, by contrast,
involves distributions that are unknown. This
situation involves less knowledge than decision
making under risk. A situation that involves
decision making under uncertainty might be that
a communications design engineer knows that
transmission quality is a function of the antenna
design, the frequency, and the background radiation,
but is unsure of what the distribution of background
radiation will be in the user environment. In this
situation the design response might be to collect
field data in the user environment to characterize
the radiation, so that antenna design and frequency
can be chosen.

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