Table 2.
Different MCDA processes with addressed Research Questions (RQs), recommended and applied MCDA methods for remediation alternatives prioritization in this case study.
| Decision-making features | MCDA Process 1 (RQ 1, 4, 5) | MCDA Process 2 (RQ 1, 2, 4, 5) | MCDA Process 3 (RQ 1, 3, 4, 5) | MCDA Process 4 (RQ 1, 2, 3, 4, 5) |
|---|---|---|---|---|
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| 1. Desired outcome | Complete ranking driven by a score | |||
| 2. Criteria structure | Flat structure of criteria | Hierarchical structure of criteria | Flat structure of criteria | Hierarchical structure of criteria |
| 3. Evaluation of the alternatives on the criteria | Qualitative measurement scales for four criteria, assessed on a five-point scale, scoring from very low to very high. One criterion (i.e., costs) is measured on a quantitative scale ($). | Qualitative measurement scales, assessed on a five-point scale for four criteria (i.e., excluding costs), scoring from very low to very high. Uncertainty in evaluating the alternatives using a precautionary assumption of one worse performance (e.g., assuming positive polarity, if the score was 2, it can also be 1). One criterion (i.e., costs) is measured on a cardinal scale with uncertainty in the form of −30% ≤ deterministic value ≤ +50%. | ||
| 4. Compensation level between (sub-) criteria | Null | |||
| 5. Weights of the criteria | Equal weights | |||
| 6. Robustness analysis | No → Single recommendation | Yes → Stochastic characterization of trends | ||
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| MCDA methods recommended and applied | PROMETHEE II | PROMETHEE II for hierarchical criteria | SMAA-PROMETHEE II | SMAA-PROMETHEE II for hierarchical criteria |