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28 Decisions involving multiple objectives: SMART<br />

accepts the axioms then it follows that the results of the analysis will<br />

indicate how he or she should behave if the decision is to be made in<br />

a rational way. The analysis is therefore normative or prescriptive; it<br />

shows which alternative should be chosen if the decision maker acts<br />

consistently with his or her stated preferences.<br />

The method explained here is normally applied in situations where<br />

a particular course of action is regarded as certain (or virtually certain)<br />

to lead to a given outcome so that uncertainty is not a major concern<br />

of the analysis. (We will consider, in later chapters, techniques which<br />

are designed to be used where risk and uncertainty are central concerns<br />

of the decision maker.) Nevertheless, there are exceptions to this rule,<br />

and we will show later how the method can be adapted to problems<br />

involving risk and uncertainty.<br />

It should be emphasized that the main role of our analysis is to<br />

enable the decision maker to gain an increased understanding of his<br />

or her decision problem. If at the end of this analysis no single best<br />

course of action has been identified, this does not mean that the analysis<br />

was worthless. Often the insights gained may suggest other approaches<br />

to the problem or lead to a greater common understanding among a<br />

heterogeneous group of decision makers. They may lead to a complete<br />

reappraisal of the nature of the problem or enable a manager to reduce<br />

a large number of alternatives to a few, which can then be put forward<br />

to higher management with arguments for and against. Because of this<br />

the analysis is flexible. Although we present it as a series of stages, the<br />

decision maker is always free at any point to return to an earlier stage<br />

or to change the definition of the problem. Indeed, it is likely that this<br />

will happen as a deeper understanding of the nature of the problem is<br />

gained through the analysis.<br />

Basic terminology<br />

Objectives and attributes<br />

Before proceeding, we need to clarify some of the basic terms we will<br />

be using. An objective has been defined by Keeney and Raiffa 3 as an<br />

indication of the preferred direction of movement. Thus, when stating<br />

objectives, we use terms like ‘minimize’ or ‘maximize’. Typical objectives<br />

might be to minimize costs or maximize market share. An attribute is used<br />

to measure performance in relation to an objective. For example, if we<br />

have the objective ‘maximize the exposure of a television advertisement’

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