SWARA
Updated 2026-08-10
INTRODUCTION
English translation pending.
CORE DEFINITION
SWARA, Step-wise Weight Assessment Ratio Analysis, is a weighting method for multi-criteria decisions. Experts first rank the criteria by importance. They then state the relative importance ratio between each pair of adjacent criteria in that ranking, and the ratios are converted into comparative coefficients and summed to produce normalised weights. Because it needs only a ranking plus adjacent ratios, its cognitive burden is far lower than AHP's full pairwise comparison, which makes it practical when there are many criteria.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use expert ranking: order the criteria by importance before any weighting or scoring begins. - Use adjacent ratio: estimate the relative importance gap between each pair of neighbouring criteria. - Use weight normalisation: convert those ratios into normalised criterion weights used for scoring options.
Anchor fast decisions
Experts rank the criteria by importance, then supply a relative importance coefficient for each adjacent pair. Converting and summing these coefficients yields the weights. Compared with AHP's all-pairs comparison, SWARA needs only a ranking plus adjacent ratios, so the cognitive burden is much smaller when the criterion set is large.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Multiple-criteria_decision_analysisverified
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