Table 3

AHP-BWM simulation results on consistency ratio (CR) (as % of number of simulations)

CRAHPBWM<CRAHPObservations
510152025303540455060708090100
Criteria=3
K=1004.08.014.018.028.022.036.041.044.051.0707081.083.085.0
K=3004.07.011.717.024.029.735.045.048.753.358.367.781.083.789.3
K=5004.28.812.418.824.031.435.841.444.651.460.471.882.684.087.8
K=10003.79.712.617.625.431.640.240.747.953.162.669.781.486.187.3
Criteria=4
K=10063.091.098.0100100100100100100100100100100100100
K=30061.397.0100100100100100100100100100100100100100
K=50052.296.8100100100100100100100100100100100100100
K=100059.496.099.6100100100100100100100100100100100100
Criteria=5
K=10099.0100100100100100100100100100100100100100100
K=30097.0100100100100100100100100100100100100100100
K=50096.0100100100100100100100100100100100100100100
K=100097.0100100100100100100100100100100100100100100
Criteria=6
K=100100100100100100100100100100100100100100100100
K=300100100100100100100100100100100100100100100100
K=500100100100100100100100100100100100100100100100
K=1000100100100100100100100100100100100100100100100

Note(s): This table presents the simulation results where the consistency ratio (CR) derived by AHP-BWM is smaller than those derived by AHP, i.e. AHP-BWM produces more reliable results than AHP. Criteria represents the dimension of the comparison matrices. Observations represents the group size of the number of alternatives. And K denotes the number of simulations

Source(s): Author’s own work

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