MCDA Methodologies
Scientifically proven methods for complex decision-making. Choose the right approach for your evaluation needs.
Supported MCDA Methods
We support 7 proven multi-criteria decision analysis methodologies
TOPSIS Most Popular
Technique for Order of Preference by Similarity to Ideal Solution. Ranks alternatives based on their distance from ideal and anti-ideal solutions.
- Easy to understand
- Works with quantitative data
- Handles many alternatives
PROMETHEE Advanced
Preference Ranking Organization Method for Enrichment Evaluations. Uses pairwise comparisons with preference functions.
- Handles conflicting criteria
- Robust ranking
- Sensitivity analysis
ELECTRE Outranking
ELimination Et Choix Traduisant la REalité. Eliminates less favorable alternatives through outranking relations.
- Handles uncertainty
- Partial comparability
- Veto thresholds
Simple Scoring Quick
Sum of raw scores per alternative. The simplest approach — no weights needed, just score and rank.
- No configuration needed
- Quick results
- Easy to explain
Weighted Scoring Flexible
Weighted sum of scores per alternative. Assign importance weights to criteria and compute weighted totals.
- Criteria prioritization
- Transparent results
- Widely understood
SAW Classic
Simple Additive Weighting. Normalizes scores to [0,1] range then computes weighted sums for each alternative.
- Normalized comparison
- Well-established
- Scale-independent
VIKOR Compromise
VIseKriterijumska Optimizacija I Kompromisno Resenje. Focuses on ranking and selecting compromise solutions.
- Compromise solution
- Conflicting criteria
- Group utility
Choose the Right Method
Not sure which method to use? We'll help you decide
For Beginners
New to MCDA? Start with these user-friendly methods:
- Simple Scoring - Just score and rank
- Weighted Scoring - Straightforward weighted sum
- SAW - Easy to explain
For Groups
Multiple stakeholders? These methods work best:
- PROMETHEE - Aggregation
- ELECTRE - Voting logic
- VIKOR - Compromise ranking
For Experts
Complex scenarios? Use advanced methods:
- PROMETHEE - Preference functions
- TOPSIS - Ideal solution distance
- ELECTRE - Outranking