AHP is used for a group of criteria, sub-criteria to set up the hierarchical structure by selecting the weightage of individual criterion in whole decision making process. The weights reflect the relative importance of each criterion and hence to be selected carefully. AHP can be applied to make pairwise comparisons between the criteria and thus reduces the complexity (Saaty, 1977). It derives the weights by comparing pairwise the relative importance of criteria, taken two at a time. Through a pairwise comparison matrix, the AHP calculates the weighting for each criterion by taking the eigenvector corresponding to the largest eigenvalue of the matrix, and then normalizing the sum of the components to unity (Feizizadeh et al., 2014).