Concordance and consensus
| Autor: | Yash Kumar, Hui Wang, Zhiwei Lin, Cees H. Elzinga |
|---|---|
| Přispěvatelé: | Sociology, Theoretical Physics, Social Inequality and the Life Course (SILC) |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Discrete mathematics
Information Systems and Management Concordance Measure (mathematics) Computer Science Applications Theoretical Computer Science Set (abstract data type) Combinatorics Artificial Intelligence Control and Systems Engineering Simple (abstract algebra) Time complexity Preference (economics) Software Axiom Mathematics Rank correlation |
| Zdroj: | Elzinga, C H, Wang, H, Lin, Z & Kumar, Y 2011, ' Concordance and consensus ', Information Sciences, vol. 181, pp. 2529-2549 . https://doi.org/10.1016/j.ins.2011.02.001 Information Sciences, 181, 2529-2549. Elsevier Inc. |
| ISSN: | 0020-0255 |
| DOI: | 10.1016/j.ins.2011.02.001 |
| Popis: | 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 @t and W and Spearman's @r 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^2). Remarkably, the algorithms also allow for fast calculation of all longest common subsequences of the full set of orderings. We experimentally demonstrate the performance of the algorithms. A new and simple measure for assessing concordance on Likert-items is proposed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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