Analytic Hierarchy Process

Decision Companion

Structured multi-criteria decision analysis · Objective, Subjective & Uncertain evaluation

1
Setup
2
Criteria
3
Importance
4
Evaluate
5
Results

What are you deciding?

Set your decision context, then explore the guide below before naming your criteria.

Criterion Type — Benefit vs Cost
↑ Benefit — Higher is better
You want the alternative with the highest value. Scores are normalized directly.
Performance score · Revenue · Customer rating · Speed (faster=better) · Accuracy %
↓ Cost — Lower is better
You want the alternative with the lowest value. Values are automatically inverted so cheaper options score higher.
Price ($) · Delivery time (days) · Energy use (kWh) · Error rate % · Maintenance cost
Evaluation Mode — Objective, Subjective, Uncertain
⊞ Objective — I have real numbers
Enter the actual measured value for each alternative. The system normalizes them automatically. Use this whenever possible.
Price = $500 · RAM = 16GB · Speed = 120ms · Rating = 4.7 · Weight = 1.4kg
⊟ Subjective — I'll compare by feel
No hard data. You answer simple "which is better and by how much?" questions for each pair of alternatives using a slider — no matrix needed.
Design quality · Brand reputation · Ease of use · Team expertise · Cultural fit
◈ Uncertain — I have estimates with risk
You have a best-guess value (mean) and an uncertainty/risk estimate (variance). Set your risk tolerance λ. Score = Mean − λ × Variance.
Projected revenue · Estimated timelines · Investment returns · Forecasted demand
Pairwise Comparison Scale — How the sliders work

Used when comparing criteria importance and for subjective criteria. Move the slider to indicate your preference.

ValueMeaningExample
1EqualBoth options are equally important / preferred
3ModerateOne is slightly more preferred based on experience
5StrongClearly more preferred; demonstrated in practice
7Very StrongDominates clearly; very strong evidence
9ExtremeAbsolutely dominant; highest possible preference
2,4,6,8In-betweenWhen you need a shade between two levels
Left of centerLeft side preferredSlider left = left item is more important
Right of centerRight side preferredSlider right = right item is more important

Consistency Ratio (CR) ≤ 0.10 means your comparisons are logically consistent. If CR > 0.10, some of your judgments may contradict each other.

Risk Tolerance (λ) — For Uncertain mode

Formula: Adjusted Score = Mean − λ × Variance

λ valueProfileEffect
0Risk-neutralIgnores uncertainty — only the mean matters
0.5Mildly cautiousSmall penalty for high-variance options
1Moderate (default)Balanced trade-off between return and risk
2–3Risk-averseStrongly penalises uncertain options
>5Very risk-averseAlmost always picks the most stable option

Define criteria & alternatives

Name each criterion, set its type and how it will be evaluated. Objective is the default — switch to Subjective or Uncertain if needed.

How important is each criterion?

For each pair, move the slider toward the criterion that matters more — and how much more.

Evaluate each alternative

Enter values for objective criteria, answer comparison questions for subjective, or provide estimates for uncertain ones.

Analysis complete

Your structured decision recommendation based on AHP.