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6th European Conference - Academic Conferences

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Tridip Bardhan et al.<br />

Step 6: Gathered judgment weights analysis: - The pairwise comparison was done using MS-excel<br />

template, with in-built capability to calculate elements local priorities and pairwise-matrix consistency.<br />

Thus, the first task of the analysis step involved obtaining and organizing each panel member’s pairwise<br />

comparison matrices, and their respective element priority vectors. The pairwise matrices were also<br />

assessed for the completeness and consistency (see Figure 5).<br />

Figure 5: Pair-wise comparison matrix as built in Microsoft Excel ®<br />

The element priorities were calculated using Saaty’s (1980) additive normalization algorithm, which<br />

consists of the following three steps:<br />

For each pairwise comparison matrix :<br />

Where is pairwise matrix from panel member , for cluster and containing relative measures,<br />

assigned to element when compared to element (Note that and )<br />

Sum the values of each column in comparison matrix i.e.<br />

Divide each element in matrix with respective column sum i.e.<br />

pairwise comparison matrix.<br />

to obtain normalized<br />

Sum each row’s element and divide row’s sum by elements in the row, to<br />

obtain vector (Eigen vector) containing estimates of relative priorities of the elements in the<br />

cluster i.e.<br />

Where: is the local priority for element of cluster , for panel member<br />

The consistency of each pairwise comparison matrix was checked using Saaty’s (1980) consistency<br />

index (CI) calculated as:<br />

31

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