Research Article
A Guide to Integrating Expert Opinion and Fuzzy AHP When Generating Weights for Composite Indices
Table 8
Triangular fuzzy scale of relative importance.
| | Proxy | Weight (%) | Rank | Percentile (%) | I-scale1 | F-scale2 | STI scale3 |
| | PI | 11.6 | 1 | 90 | 9 | (9, 9, 9) | 0 | | CPI | 11.5 | 2 | 80 | 9 | (9, 9, 9) | 0 | | EF | 11.4 | 3 | 70 | 7 | (6, 7, 8) | 1 | | RL | 10.9 | 4 | 60 | 5 | (4, 5, 6) | 2 | | INFRA | 10.0 | 5 | 50 | 5 | (4, 5, 6) | 2 | | INF | 9.5 | 6 | 40 | 3 | (2, 3, 4) | 3 | | KC | 9.4 | 7 | 30 | 3 | (2, 3, 4) | 3 | | UR | 9.2 | 8 | 20 | 1 | (1, 1, 1) | 4 | | SD | 8.5 | 9 | 10 | 1 | (1, 1, 1) | 4 | | CO2E | 8.1 | 10 | 0 | 1 | (1, 1, 1) | 4 |
|
|
1I-scale: intermediate scale. 2F-scale: triangular fuzzy scale. 3STI scale: steps to ideal scale (9, 9, 9).
|
