Concordance and consensus

C.H. Elzinga; H. Wang; Z. Lin; Y. Kumar

doi:10.1016/j.ins.2011.02.001

Concordance and consensus

C.H. Elzinga, H. Wang, Z. Lin, Y. Kumar

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

This paper deals with the measurement of concordance and the construction of consensus in preference data, either in the form of preference rankings or in the form of response distributions with Likert-items. We propose a set of axioms of concordance in preference orderings and a new class of concordance measures. The measures outperform classic measures like Kendall's τ and W and Spearman's ρ in sensitivity and apply to large sets of orderings instead of just to pairs of orderings. For sets of N orderings of n items, we present very efficient and flexible algorithms that have a time complexity of only O(Nn

Original language	English
Pages (from-to)	2529-2549
Number of pages	20
Journal	Information Sciences
Volume	181
DOIs	https://doi.org/10.1016/j.ins.2011.02.001
Publication status	Published - 2011

Access to Document

10.1016/j.ins.2011.02.001

Persistent URL (handle)

Copy link address

Cite this

@article{f2ee209aeda24cdc90574852e8b28f08,

title = "Concordance and consensus",

abstract = "This paper deals with the measurement of concordance and the construction of consensus in preference data, either in the form of preference rankings or in the form of response distributions with Likert-items. We propose a set of axioms of concordance in preference orderings and a new class of concordance measures. The measures outperform classic measures like Kendall's τ and W and Spearman's ρ in sensitivity and apply to large sets of orderings instead of just to pairs of orderings. For sets of N orderings of n items, we present very efficient and flexible algorithms that have a time complexity of only O(Nn",

author = "C.H. Elzinga and H. Wang and Z. Lin and Y. Kumar",

year = "2011",

doi = "10.1016/j.ins.2011.02.001",

language = "English",

volume = "181",

pages = "2529--2549",

journal = "Information Sciences",

issn = "0020-0255",

publisher = "Elsevier Inc.",

}

TY - JOUR

T1 - Concordance and consensus

AU - Elzinga, C.H.

AU - Wang, H.

AU - Lin, Z.

AU - Kumar, Y.

PY - 2011

Y1 - 2011

N2 - This paper deals with the measurement of concordance and the construction of consensus in preference data, either in the form of preference rankings or in the form of response distributions with Likert-items. We propose a set of axioms of concordance in preference orderings and a new class of concordance measures. The measures outperform classic measures like Kendall's τ and W and Spearman's ρ in sensitivity and apply to large sets of orderings instead of just to pairs of orderings. For sets of N orderings of n items, we present very efficient and flexible algorithms that have a time complexity of only O(Nn

AB - This paper deals with the measurement of concordance and the construction of consensus in preference data, either in the form of preference rankings or in the form of response distributions with Likert-items. We propose a set of axioms of concordance in preference orderings and a new class of concordance measures. The measures outperform classic measures like Kendall's τ and W and Spearman's ρ in sensitivity and apply to large sets of orderings instead of just to pairs of orderings. For sets of N orderings of n items, we present very efficient and flexible algorithms that have a time complexity of only O(Nn

U2 - 10.1016/j.ins.2011.02.001

DO - 10.1016/j.ins.2011.02.001

M3 - Article

SN - 0020-0255

VL - 181

SP - 2529

EP - 2549

JO - Information Sciences

JF - Information Sciences

ER -

Concordance and consensus

Abstract

Access to Document

Persistent URL (handle)

Fingerprint

Cite this