| | MADM model | Aggregated value | Score value | Sorting |
| | Presented MADM model with β1 = 1 | HOZN1 = <(0.7000, 0.7778), (0.2000, 0.7991)>
HOZN2 = <(0.7570, 0.7300), (0.1000, 0.8268)>
HOZN3 = <(0.6767, 0.8190), (0.2240, 0.7267)>
HOZN4 = <(0.6908, 0.7987), (0.1841, 0.7483)> | C(HOZN1) = 0.3846
C(HOZN2) = 0.4700
C(HOZN3) = 0.3914
C(HOZN4) = 0.4140 | B2 > B4 > B3 > B1 |
| | Presented MADM method with β1 = 0.5 | HOZN1 = <(0.7000, 0.7752), (0.2000, 0.8069)>
HOZN2 = <(0.7537, 0.7274), (0.1000, 0.8310)>
HOZN3 = <(0.6746, 0.8031), (0.2267, 0.7294)>
HOZN4 = <(0.6819, 0.7875), (0.1924, 0.7517)> | C(HOZN1) = 0.3813
C(HOZN2) = 0.4651
C(HOZN3) = 0.3764
C(HOZN4) = 0.3924 | B2 > B4 > B1 > B3 |
| | Presented MADM method with β1 = 0 | HOZN1 = <(0.7000, 0.7727), (0.2000, 0.8149)>
HOZN2 = <(0.7503, 0.7247), (0.1000, 0.8353)>
HOZN3 = <(0.6725, 0.7858), (0.2294, 0.7322)>
HOZN4 = <(0.6728, 0.7757), (0.2011, 0.7551)> | C(HOZN1) = 0.3779
C(HOZN2) = 0.4603
C(HOZN3) = 0.3605
C(HOZN4) = 0.3700 | B2 > B1 > B4 > B3 |
| | Existing MADM model using the IFNWAM operator [4] | zIFV1 = <0.7000, 0.2000>
zIFV2 = <0.7570, 0.1000>
zIFV3 = <0.6767, 0.2240>
zIFV4 = <0.6908, 0.1841> | C(zIFV1) = 0.5000
C(zIFV2) = 0.6570
C(zIFV3) = 0.4527
C(zIFV4) = 0.5067 | B2 > B4 > B1 > B3 |
| | Existing MADM method using the IFNWGM operator [3] | zIFV1 = <0.7000, 0.2000>
zIFV2 = <0.7503, 0.1000>
zIFV3 = <0.6725, 0.2294>
zIFV4 = <0.6728, 0.2011> | C(zIFV1) = 0.5000
C(zIFV2) = 0.6503
C(zIFV3) = 0.4431
C(zIFV4) = 0.4716 | B2 > B1 > B4 > B3 |
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