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Decision Models in Skiable Areas - EPFL

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6 MODEL OF DEMAND IN A SKIABLE AREA 14<br />

6.1.4 Second Approach<br />

Figure 5: Procedure of improvement of the Basic Model<br />

In this section we start anew from the Basic Model. First, a neglected problem <strong>in</strong><br />

the Basic Model is corrected. The problem is the follow<strong>in</strong>g: Two lifts succeed<strong>in</strong>g<br />

one another have not a way of ski slopes between. In the Basic Model, it is assumed<br />

that the correspond<strong>in</strong>g attributes Maxmax and M<strong>in</strong>max have the fictive values 2 and<br />

0 respectively. This mistake is corrected <strong>in</strong> this model. For a fixed lift LD, where<br />

the skier is at the end at, and for each succeed<strong>in</strong>g lift LO the attributes Maxmax and<br />

M<strong>in</strong>max are elim<strong>in</strong>ated from the determ<strong>in</strong>istic term and a constant is added. This<br />

constant corresponds to the comb<strong>in</strong>ation of LD and LO. The result is illustrated <strong>in</strong><br />

Figure 6. As you can remark, the constants correspond<strong>in</strong>g to ”Col des Gentianes-<br />

Mont-Fort” and ”Jumbo-Mont-Fort” are fixed to zero. This is due to the miss<strong>in</strong>g of<br />

data <strong>in</strong> this part of the doma<strong>in</strong>. There are five constants which are not significant.<br />

More precisely, the hypothesis that this constants are significant has to be rejected. But<br />

because the model will be still developed, the constants will be kept and at the end all<br />

not significant constants will be elim<strong>in</strong>ated (after a possible chang<strong>in</strong>g of significance).<br />

As next step, the possibility to avoid the hypothesis that a black ski slope is two<br />

times more difficult than a red one is presented. For each attribute Maxmax D O , M<strong>in</strong>maxD O ,<br />

MaxD and M<strong>in</strong>D, here noted as Attribute D O , two new attributes Attribute redD O and

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