Multicriteria Decision Analysis

The importance-feasibility matrix kept public health importance and practical feasibility visible at the same time. Lower rank values represented higher priority. Voting participants ranked candidate vaccines for each criterion, with rank 1 indicating the highest priority. Mean ranks were calculated for each vaccine and criterion, then weighted mean ranks were calculated separately for importance and feasibility. Mature decision-making requires handling multiple criteria at the same time. Values should be treated as simultaneous inputs rather than reduced to a single ranked criterion. The framework treats weighting, violation detection, and conflict resolution among criteria as its central problem.