Purpose
This tutorial holds option data constant so you can distinguish where weights come from from how options are ranked. You do not need to reproduce every calculation to use DecisioQ effectively.
Shared inputs
Suppliers A, B, and C use Quality (Maximize), Cost (Minimize), and DeliveryDays (Minimize).
| Supplier | Quality | Cost | Delivery days |
|---|---|---|---|
| A | 90 | 250 | 5 |
| B | 80 | 180 | 3 |
| C | 70 | 100 | 7 |
Expert (Manual) weights
These explicitly defined weights could come from people, policy, or another trusted source. In the standard DecisioQ experience, they are typically supplied by Decision Catalog. Here they are Quality 0.50, Cost 0.30, and DeliveryDays 0.20.
Weights calculated by AHP
Pairwise comparisons Quality:Cost=2, Quality:Delivery=4, and Cost:Delivery=2 produce automatically calculated (AHP-derived) weights 0.571429, 0.285714, and 0.142857.
Verified results
| Combination | Effective weights | Ranking and scores |
|---|---|---|
| Expert (Manual) + WSM | 0.50 / 0.30 / 0.20 | A 0.6000; B 0.5900; C 0.3000 |
| Expert (Manual) + TOPSIS | 0.50 / 0.30 / 0.20 | A 0.617218; B 0.540706; C 0.357775 |
| AHP + WSM | 0.571429 / 0.285714 / 0.142857 | A 0.6429; B 0.5619; C 0.2857 |
| AHP + TOPSIS | 0.571429 / 0.285714 / 0.142857 | A 0.661635; B 0.516671; C 0.326631 |
Interpretation
The winner remains A, while weights and scores change. Other valid datasets can change rankings.
- AHP increases Quality’s influence.
- WSM multiplies each normalized criterion score by its weight and adds those contributions. A strong result in one area can offset a weaker result in another.
- TOPSIS ranks each option by its closeness to the ideal profile and its distance from the least-desirable profile.