Table 4.
The aggregated Fermatean fuzzy initial decision matrix
| Initial criterion | Alternative | ||||
|---|---|---|---|---|---|
| A1: Beylikdüzü | A2: Eyüp | A3: Sarıyer | A4: Ümraniye | A5: Pendik | |
| V1 | (0.6236, 0.4843) | (0.6662, 0.7716) | (0.7205, 0.4347) | (0.7939, 0.3457) | (0.5911, 0.5680) |
| V2 | (0.8185, 0.2908) | (0.5911, 0.5680) | (0.5307, 0.6881) | (0.6585, 0.4405) | (0.7049, 0.4351) |
| V3 | (0.7185, 0.3733) | (0.5788, 0.5681) | (0.5701, 0.5642) | (0.6007, 0.4695) | (0.7318, 0.3719) |
| V4 | (0.7049, 0.4351) | (0.5733, 0.6023) | (0.4967, 0.6979) | (0.6338, 0.4665) | (0.8442, 0.2782) |
| V5 | (0.6007, 0.4695) | (0.5443, 0.5687) | (0.5788, 0.5681) | (0.6007, 0.4695) | (0.7586, 0.4291) |
| V6 | (0.7232, 0.4347) | (0.7564, 0.3507) | (0.8395, 0.2786) | (0.5701, 0.5642) | (0.6007, 0.4695) |
| V7 | (0.5782, 0.6880) | (0.6706, 0.4401) | (0.8442, 0.2782) | (0.5911, 0.6871) | (0.3581, 0.8841) |
| V8 | (0.4732, 0.7978) | (0.8709, 0.2586) | (0.8709, 0.2586) | (0.5570, 0.6872) | (0.3581, 0.8841) |
| V9 | (0.7205, 0.6858) | (0.5171, 0.7761) | (0.2218, 0.9096) | (0.6338, 0.4665) | (0.9219, 0.1852) |
| V10 | (0.6363, 0.6869) | (0.4667, 0.6987) | (0.4162, 0.7807) | (0.6212, 0.4843) | (0.7318, 0.3719) |
| V11 | (0.2777, 0.8734) | (0.6038, 0.5636) | (0.7905, 0.3457) | (0.4758, 0.6298) | (0.4453, 0.9109) |
| V12 | (0.5841, 0.7720) | (0.4967, 0.6979) | (0.6338, 0.4665) | (0.5911, 0.6871) | (0.6706, 0.4401) |
| V13 | (0.6069, 0.6019) | (0.4439, 0.6317) | (0.4599, 0.7067) | (0.7049, 0.4351) | (0.7713, 0.3483) |
| V14 | (0.5744, 0.7975) | (0.4263, 0.7075) | (0.3810, 0.8753) | (0.6458, 0.4663) | (0.7318, 0.3719) |
| V15 | (0.7414, 0.4296) | (0.6254, 0.4450) | (0.6585, 0.4405) | (0.6923, 0.4355) | (0.7872, 0.3458) |
| V16 | (0.6756, 0.6859) | (0.4667, 0.6987) | (0.5856, 0.6022) | (0.5963, 0.7720) | (0.6942, 0.4629) |
| V17 | (0.6861, 0.5580) | (0.5231, 0.7724) | (0.6338, 0.4665) | (0.6670, 0.4635) | (0.7205, 0.4347) |
| V18 | (0.3144, 0.8208) | (0.6585, 0.4405) | (0.6670, 0.4635) | (0.5443, 0.5687) | (0.5173, 0.5728) |
| V19 | (0.2332, 0.8823) | (0.7564, 0.3507) | (0.6793, 0.4632) | (0.6458, 0.4663) | (0.5307, 0.6881) |
| V20 | (0.6092, 0.4845) | (0.8395, 0.2786) | (0.8442, 0.2782) | (0.4154, 0.8180) | (0.5788, 0.5681) |
| V21 | (0.6092, 0.4845) | (0.7049, 0.4351) | (0.8709, 0.2586) | (0.6949, 0.6858) | (0.4967, 0.6979) |
| V22 | (0.2592, 0.8613) | (0.6960, 0.3874) | (0.8773, 0.2579) | (0.5570, 0.6872) | (0.3218, 0.8768) |
| V23 | (0.7049, 0.4351) | (0.7713, 0.3483) | (0.7713, 0.3483) | (0.5911, 0.6871) | (0.4886, 0.7765) |
| V24 | (0.5173, 0.5728) | (0.5757, 0.4866) | (0.5757, 0.4866) | (0.5173, 0.5728) | (0.5173, 0.5728) |
| V25 | (0.5173, 0.5728) | (0.6835, 0.3885) | (0.8709, 0.2586) | (0.6585, 0.4405) | (0.5247, 0.6971) |
| V26 | (0.7872, 0.3458) | (0.5113, 0.6053) | (0.4732, 0.7978) | (0.5911, 0.6871) | (0.9099, 0.1937) |
| V27 | (0.6254, 0.4450) | (0.4967, 0.6979) | (0.4967, 0.6979) | (0.5443, 0.5687) | (0.6585, 0.4405) |
| V28 | (0.6285, 0.5588) | (0.4599, 0.7067) | (0.4817, 0.7414) | (0.6038, 0.5636) | (0.7905, 0.3457) |
| V29 | (0.7713, 0.3483) | (0.4263, 0.7075) | (0.5470, 0.7408) | (0.5603, 0.6970) | (0.7744, 0.3483) |
| V30 | (0.7713, 0.3483) | (0.4439, 0.6317) | (0.5003, 0.7066) | (0.6585, 0.4405) | (0.8773, 0.2579) |