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116 Decision making under uncertainty<br />

the course of action which has the highest expected utility. Of course,<br />

it may be possible to demonstrate that a particular decision maker does<br />

not act according to the axioms of utility theory. However, this does not<br />

necessarily imply that the theory is inappropriate in his case. All that is<br />

required is that he wishes to behave consistently according to the axioms.<br />

Applying decision analysis helps a decision maker to formulate preferences,<br />

assess uncertainty and make judgments in a coherent fashion.<br />

Thus coherence is the result of decision analysis, not a prerequisite.<br />

More on utility elicitation<br />

So far, we have only considered utility assessment based on the<br />

probability-equivalence approach. A disadvantage of this approach is<br />

that the decision maker may have difficulty in thinking in terms of<br />

probabilities like 0.90 or 0.95. Because of this, a number of alternative<br />

approaches have been developed (for example, Farquahar 4 reviews 24<br />

different methods). Perhaps the most widely used of these is the certaintyequivalence<br />

approach, which, in its most common form, only requires the<br />

decision maker to think in terms of 50:50 gambles.<br />

To illustrate the approach, let us suppose that we wish to elicit<br />

a decision maker’s utility function for monetary values in the range<br />

$0–40 000 (so that u($0) = 0andu($40 000) = 1). An elicitation session<br />

might proceed as follows:<br />

Analyst: If I offered you a hypothetical lottery ticket which gave a<br />

50% chance of $0 and a 50% chance of $40 000, how much would you<br />

be prepared to pay for it? Obviously, its expected monetary value is<br />

$20 000, but I want to know the minimum amount of money you would<br />

just be willing to pay for the ticket.<br />

Decision maker: (after some thought) $10 000.<br />

Hence u($10 000) = 0.5 u($0) + 0.5 u($40 000)<br />

= 0.5(0) + 0.5(1) = 0.5<br />

The analyst would now use the $10 000 as the worst payoff in a new<br />

hypothetical lottery.<br />

Analyst: If I now offered you a hypothetical lottery ticket which gave you<br />

a 50% chance of $40 000 and a 50% chance of $10 000 how much would<br />

you be prepared to pay for it?

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