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Is more always better?Measuring the quality of ranking data through information entropy

Yishan Liu Yu Xiao Xin Long Jun Wu

Journal of Data and Information Science2026，Vol.11Issue(1)：P.76-95,20.

Journal of Data and Information Science2026，Vol.11Issue(1)：P.76-95,20.DOI:10.2478/jdis-2025-0055

Is more always better?Measuring the quality of ranking data through information entropy

Yishan Liu ¹Yu Xiao ²Xin Long ³Jun Wu²

作者信息

1. Department of Systems Science,Faculty of Arts and Sciences,Beijing Normal University,Zhuhai 519087,China International Academic Center of Complex Systems,Beijing Normal University,Zhuhai 519087,China School of Systems Science,Beijing Normal University,Beijing 100875,China
2. Department of Systems Science,Faculty of Arts and Sciences,Beijing Normal University,Zhuhai 519087,China International Academic Center of Complex Systems,Beijing Normal University,Zhuhai 519087,China
3. College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China
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摘要

关键词

Multiple criteria decision making/Rank aggregation/Data quality/Measuring/Information entropy

分类

社会科学

引用本文复制引用

Yishan Liu,Yu Xiao,Xin Long,Jun Wu..Is more always better?Measuring the quality of ranking data through information entropy[J].Journal of Data and Information Science,2026,11(1):P.76-95,20.

基金项目

financially supported by the National Natural Science Foundation of China(Nos.72571031,72401032,72201035) （Nos.72571031,72401032,72201035）

the Innovation Teams Project in Ordinary Universities of Guangdong Province(No.2024KCXTD050) （No.2024KCXTD050）

the Guangdong Basic and Applied Basic Research Foundation(No.2025A1515011586). （No.2025A1515011586）

Journal of Data and Information Science

ISSN：2096-157X

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