Ranking method · Saaty, 1977
Classical AHP
Analytic Hierarchy Process synthesis ranking
Ranks alternatives from criteria comparisons plus alternative comparisons under every criterion.
How it works
- Compare criteria pairwise on the Saaty 1–9 scale.
- For each criterion, compare the alternatives pairwise on the same scale.
- Derive one criteria priority vector and one local alternative priority vector per criterion.
- Synthesize final scores by multiplying local priorities by criteria weights and summing across criteria.
- Check the Consistency Ratio for every matrix; any CR ≥ 0.10 blocks the ranking.
Use it when
- The decision is mainly judgment-based and the raw performance matrix does not capture the trade-offs well.
- Experts can compare alternatives directly under each criterion.
- You want a classical Saaty AHP hierarchy rather than AHP weights feeding another MCDM ranking method.
Watch out for
- It uses subjective pairwise judgments, so it is not directly comparable with methods that rank the numeric decision matrix.
- The number of comparisons grows quickly: n alternatives require n(n−1)/2 judgments under each criterion.
- Use AHP-specific sensitivity rather than numeric data perturbation for robustness claims.
Parameters
Criteria matrix plus one alternatives matrix per criterion; all CR values must stay below 0.10.
Cite the method
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.
@book{saaty1980ahp,
author = {Saaty, Thomas L.},
title = {The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation},
publisher = {McGraw-Hill},
address = {New York},
year = {1980}
}
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