A Different Perspective on a Scale for Pairwise Comparisons

被引:0
|
作者
Fueloep, J. [2 ]
Koczkodaj, W. W. [1 ]
Szarek, S. J. [3 ,4 ]
机构
[1] Laurentian Univ, Comp Sci, Sudbury, ON P3E 2C6, Canada
[2] Hungarian Acad Sci, Automat Res Inst, Res Grp Operat Res & Decision Syst Comp, H-1518 Budapest, Hungary
[3] Case Western Reserve Univ, Dept Math, Cleveland, OH 44106 USA
[4] Univ Paris 06, F-75252 Paris, France
关键词
Pairwise comparisons; collective intelligence; scale; subjective assessment; inaccuracy; inconsistency; COMPARISON MATRICES; HIERARCHICAL STRUCTURES; CONSISTENCY; PRIORITIES; FRAMEWORK; WEIGHTS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the major challenges for collective intelligence is inconsistency, which is unavoidable whenever subjective assessments are involved. Pairwise comparisons allow one to represent such subjective assessments and to process them by analyzing, quantifying and identifying the inconsistencies. We propose using smaller scales for pairwise comparisons and provide mathematical and practical justifications for this change. Our postulate's aim is to initiate a paradigm shift in the search for a better scale construction for pairwise comparisons. Beyond pairwise comparisons, the results presented may be relevant to other methods using subjective scales.
引用
收藏
页码:71 / +
页数:4
相关论文
共 50 条