作者: F. Hutton Barron , Bruce E. Barrett
关键词: Decision quality 、 Rank (computer programming) 、 Complete information 、 Mathematics 、 Centroid 、 Weighting 、 Stochastic multicriteria acceptability analysis 、 Statistics
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.