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Weighted Decision Matrix

Compare options across weighted benefit and cost criteria, then test how sensitive the ranking is to each weight.

Score scale maximum510100

Missing scoresIgnore and renormalizeTreat as zero normalized value

Sensitivity variation (%)

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Criteria

Name	Weight	Direction

Options and scores

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Formula: Benefit normalized value = score ÷ scale maximum. Cost normalized value = (scale maximum − score) ÷ scale maximum, so lower cost scores rank better. Weighted total = Σ(weight × normalized value) ÷ Σ(included weights), then displayed as a percentage. With “ignore,” a missing cell is omitted from both sums for that option; with “zero,” it contributes zero while its weight remains in the denominator. Sensitivity varies one criterion from −N% through +N% in 20 equal steps while holding other weights constant, recalculating full ranks and flagging observed leader changes or ties. It is a scenario test, not proof that untested weight combinations preserve the ranking.