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
  • [31] Pairwise comparisons with ordered categorical data
    Lin, Yueqiong
    Cheung, Siu Hung
    Poon, Wai-Yin
    Lu, Tong-Yu
    STATISTICS IN MEDICINE, 2013, 32 (18) : 3192 - 3205
  • [32] Ranking with multiple types of pairwise comparisons
    Newman, Mark E. J.
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2022, 478 (2266):
  • [33] Graded Multilabel Classification by Pairwise Comparisons
    Brinker, Christian
    Mencia, Eneldo Loza
    Fuernkranz, Johannes
    2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2014, : 731 - 736
  • [34] Desirable gambles based on pairwise comparisons
    Moral, Serafin
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2024, 169
  • [35] On homology groups for pairwise comparisons method
    Koczkodaj, Waldemar W.
    Pedrycz, Witold
    Pigazzini, Alexander
    Song, Yingli
    Szybowski, Jacek
    INFORMATION SCIENCES, 2024, 681
  • [36] Data Perturbations of Matrices of Pairwise Comparisons
    András Farkas
    Pál Rózsa
    Annals of Operations Research, 2001, 101 : 401 - 425
  • [37] Tender with Success - The Pairwise Comparisons Approach
    Kulakowski, Konrad
    Szybowski, Jacek
    Tadeusiewicz, Ryszard
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014, 2014, 35 : 1122 - 1131
  • [38] On Multiplicative, Additive and Qualitative Pairwise Comparisons
    Janicki, Ryszard
    Mahmoud, Mahmoud
    PROCEEDINGS OF THE 2022 17TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2022, : 247 - 251
  • [39] Adversarial Preference Learning with Pairwise Comparisons
    Wang, Zitai
    Xu, Qianqian
    Ma, Ke
    Jiang, Yangbangyan
    Cao, Xiaochun
    Huang, Qingming
    PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19), 2019, : 656 - 664
  • [40] On normalization of inconsistency indicators in pairwise comparisons
    Koczkodaj, W. W.
    Magnot, J. -P.
    Mazurek, J.
    Peters, J. F.
    Rakhshani, H.
    Soltys, M.
    Strzalka, D.
    Szybowski, J.
    Tozzi, A.
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 86 : 73 - 79