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

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

By: Yishan Liu,  Yu Xiao,  Xin Long and  Jun Wu  
Open Access
|Nov 2025

Authors

Yishan Liu

Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, China
International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, China
School of Systems Science, Beijing Normal University, Beijing, China

Yu Xiao

Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, China
International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, China

Xin Long

longxin14@nudt.edu.cn

College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

Jun Wu

junwu@bnu.edu.cn

Department of Systems Science, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, China
International Academic Center of Complex Systems, Beijing Normal University, Zhuhai, China
DOI: https://doi.org/10.2478/jdis-2025-0055 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 105 - 131
Submitted on: Jul 1, 2025
|
Accepted on: Oct 13, 2025
|
Published on: Nov 7, 2025
In partnership with: Paradigm Publishing Services

© 2025 Yishan Liu, Yu Xiao, Xin Long, Jun Wu, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.