Decision quality using ranked attribute weights

作者: F. Hutton Barron , Bruce E. Barrett

DOI: 10.1287/MNSC.42.11.1515

关键词: Decision qualityRank (computer programming)Complete informationMathematicsCentroidWeightingStochastic multicriteria acceptability analysisStatistics

摘要: Three published approximation formulae for selecting the best multiattribute alternative based on rank-ordered weights are evaluated. All surprisingly efficacious in determining alternative. Rank order centroid ROC more accurate than other rank-based formulae; furthermore, formula generalizes to incorporate both forms of partial information about attribute and rank as well. Because a ROC-based analysis is so straightforward efficacious, it provides an appropriate implementation tool.

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