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32 Decisions involving multiple objectives: SMART<br />

We start constructing the tree by addressing the attributes which<br />

represent the general concerns of the decision maker. Initially, the<br />

owner identifies two main attributes, which he decides to call ‘costs’ and<br />

‘benefits’. There is, of course, no restriction on the number of attributes<br />

which the decision maker can initially specify (e.g. our decision maker<br />

might have specified ‘short-term costs’, ‘long-term costs’, ‘convenience<br />

of the move’ and ‘benefits’ as his initial attributes). Nor is there any<br />

requirement to categorize the main attributes as costs and benefits. In<br />

some applications (e.g. Wooler and Barclay 6 ) ‘the risk of the options’ is<br />

an initial attribute. Buede and Choisser 7 describe an engineering design<br />

application for the US Defense Communications Agency, where the<br />

main attributes are ‘the effectiveness of the system’ (i.e. factors such<br />

as quality of performance, survivability in the face of physical attack,<br />

etc.) and ‘implementation’ (i.e. manning, ease of transition from the old<br />

system, etc.).<br />

Having established the main attributes for our business owner, we<br />

need to decompose them to a level where they can be assessed. The<br />

owner identifies three main costs that are of concern to him: the annual<br />

rent, the cost of electricity (for heating, lighting, operating equipment,<br />

etc.) and the cost of having the office regularly cleaned. Similarly,<br />

he decides that benefits can be subdivided into ‘potential for improved<br />

turnover’ and ‘staff working conditions’. However, he thinks that he will<br />

have difficulty assessing each office’s potential for improving turnover<br />

without identifying those attributes which will have an impact on<br />

turnover. He considers these attributes to be ‘the closeness of the office<br />

to potential customers’, ‘the visibility of the site’ (much business is<br />

generated from people who see the office while passing by) and ‘the<br />

image of the location’ (a decaying building in a back street may convey a<br />

poor image and lead to a loss of business). Similarly, the owner feels that<br />

he will be better able to compare the working conditions of the offices<br />

if he decomposes this attribute into ‘size’, ‘comfort’ and ‘car parking<br />

facilities’.<br />

Having constructed a value tree, how can we judge whether it is an<br />

accurate and useful representation of the decision maker’s concerns?<br />

Keeney and Raiffa 3 have suggested five criteria which can be used to<br />

judge the tree:<br />

(i) Completeness. If the tree is complete, all the attributes which are of<br />

concern to the decision maker will have been included.<br />

(ii) Operationality. This criterion is met when all the lowest-level attributes<br />

in the tree are specific enough for the decision maker to

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