Research Article
Novel Spherical Fuzzy MARCOS Method for Assessment of Drone-Based City Logistics Concepts
Table 5
Final drone-based CL concept scores and their ranking.
| CL concept | | | Fi | Rank | Rank according to spherical fuzzy TOPSIS | Rank according to spherical fuzzy VIKOR |
| C1 | 0.647 | 0.310 | 0.268 | 12 | 11 | 12 | C2V1 | 0.618 | 0.473 | 0.356 | 10 | 10 | 9 | C2V2 | 0.589 | 0.573 | 0.387 | 4 | 4 | 4 | C2V3 | 0.643 | 0.426 | 0.337 | 11 | 12 | 11 | C2V4 | 0.601 | 0.553 | 0.384 | 6 | 7 | 5 | C3V1 | 0.595 | 0.576 | 0.390 | 3 | 3 | 6 | C3V2 | 0.584 | 0.645 | 0.408 | 1 | 1 | 1 | C3V3 | 0.621 | 0.504 | 0.370 | 9 | 8 | 10 | C3V4 | 0.616 | 0.525 | 0.377 | 8 | 9 | 8 | C4V1 | 0.600 | 0.541 | 0.379 | 7 | 6 | 7 | C4V2 | 0.590 | 0.595 | 0.395 | 2 | 2 | 3 | C4V3 | 0.591 | 0.564 | 0.385 | 5 | 5 | 2 |
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