The essential distinction
AHP-generated weights and user-entered scores are different inputs to the same decision.
| Input | Question answered | Applies to | Example |
|---|---|---|---|
| AHP-generated weight | How important is this factor? | The criterion across every option | Vehicle quality = 30% |
| User-entered score or value | How does this option perform? | One candidate | Auction A quality = 88 |
AHP weights answer “What matters most?”
Option values answer “How does each candidate perform?”
TOPSIS combines them to answer “Which option offers the best overall balance?”
AHP does not score auction houses, repair orders, or suppliers. It establishes the relative importance of the criteria. Likewise, an option’s high score does not make that criterion more important.
How the calculation works
1. Establish what matters
The client compares every criterion pair using business judgments such as “quality is somewhat more important than cost.” AHP converts the complete comparison set into normalized weights totaling 100%.
2. Describe candidate performance
The client enters comparable evidence for every option. The same criterion weight applies across all options; each option has its own performance value.
3. Normalize values and respect direction
DecisioQ makes unlike units—such as dollars, kilometres, days, percentages, and scores—comparable. It also follows the catalog direction: higher is preferred for a maximize criterion; lower is preferred for a minimize criterion.
4. Apply weights and rank
The showcases use TOPSIS. It considers each option’s closeness to the best attainable combination and distance from the least-desirable combination. A heavily weighted criterion has greater influence, but it does not decide the result by itself.
Worked auction example
Suppose the AHP exercise assigns vehicle quality a weight of 30%, availability 25%, buyer fee 18%, reputation 15%, distance 8%, and title speed 4%.
| Criterion | AHP weight | Auction A | Auction B | Auction C |
|---|---|---|---|---|
| Vehicle quality | 30% | 88 | 83 | 92 |
| Availability | 25% | 96 | 90 | 76 |
| Buyer fee | 18% | $850 | $475 | $325 |
| Reputation | 15% | 94 | 87 | 91 |
| Distance | 8% | 235 km | 0 km | 68 km |
| Title speed | 4% | 89 | 96 | 74 |
Auction C leads on quality and fee; Auction A leads on availability and reputation; Auction B leads on distance and title speed. TOPSIS evaluates the complete weighted pattern. It does not merely choose the option with the most first-place values.
Two ways the result can change
Change the weights
Changing AHP judgments changes organizational priorities. If buyer fee becomes much more important, lower-fee auctions gain influence even though their fee values have not changed.
Change an option value
Changing Auction A’s fee from $850 to $500 improves Auction A’s performance. It does not change how important buyer fee is to the organization.
Using AHP in a showcase
- Open the auction-house, repair-order, or parts-supplier showcase.
- Find How should the factors be weighted?
- Select Help me generate weights (AHP).
- Complete all 15 pairwise comparisons.
- Optionally load the balanced starter judgments and adjust them.
- Select Generate AHP weights.
- Review the percentages and consistency ratio.
- Enter or review each candidate’s performance values.
- Select Get Recommendation.
If any priority judgment changes, generate the AHP weights again before updating the recommendation.
Consistency ratio
Pairwise judgments can contradict one another. A client might say quality matters more than cost, cost matters more than delivery, but delivery matters more than quality. AHP measures this with a consistency ratio.
0.100 or lower: accepted by the showcase.
Above 0.100: review and revise the comparisons.
Consistency does not prove that the priorities are correct. It indicates that the judgments are reasonably coherent. The showcase will not use an inconsistent comparison set for the final recommendation.
Request structure
When AHP is selected, the final decision request includes both the priority comparisons and option-performance data:
{
"decisionId": "AUTO-AUCT-006",
"weightStrategy": "AHP",
"ahp": {
"criteria": [
"vehicle_availability_score",
"buyer_fee_level",
"average_vehicle_quality"
],
"comparisons": [
{
"criterionA": "average_vehicle_quality",
"criterionB": "buyer_fee_level",
"importance": 3
}
]
},
"options": [
{
"optionId": "AUCT-NATIONAL",
"name": "Northline Vehicle Exchange",
"values": {
"vehicle_availability_score": 96,
"buyer_fee_level": 850,
"average_vehicle_quality": 88
}
}
]
}
The shortened example shows the relationship between the two inputs. An executable request includes every authoritative criterion, every required pairwise comparison, and at least two options. DecisioQ derives the weights during execution; the browser does not substitute a hard-coded weight vector.
Common mistakes
Recommended client workshop process
- Agree on each criterion’s business meaning and measurement method.
- Discuss priorities separately from candidate performance.
- Have accountable stakeholders complete the AHP comparisons.
- Resolve consistency warnings.
- Record the source and date of option values.
- Review the full ranking and tradeoffs.
- Test plausible changes to important values and priorities.
- Retain judgments, evidence, assumptions, and approval decisions.
Continue with DecisioQ
Apply this model in an interactive showcase or study the full weighting contract.
Auction showcaseRepair showcaseSupplier showcaseAHP Weight DiscoveryAPI contract