Decision Quality Using Ranked Attribute Weights

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

• 저널Management Science · 42(11) · 1515–1523
• 토픽Multi-Criteria Decision Making · Management Science and Operations Research
• DOI10.1287/mnsc.42.11.1515
• 저자F. Hutton Barron, Bruce E. Barrett