世界大学排名系统的加权主观天际线方法

Junyi Chai, Wenbin Liu
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引用次数: 1

摘要

长期以来,多准则排序一直是多准则决策的核心,多准则决策通常具有简单的准则结构和客观的评价值。在本研究中,我们开发了一种新的多标准排名方法,该方法考虑了人们对客观排名的主观态度,并适应了标准的层次结构。我们的新方法,称为加权主观天际线排名(WSSR),可以在多标准的层次结构下捕捉人们的品味(或偏见)。作为一种独特的行为特征,这种WSSR解释了人们敏感性的降低。我们可以定量表征人们的主观态度对多标准排序的影响。我们认为世界大学排名是通过本研究实施的一个实际场景。有趣的是,使用WSSR揭示了主流世界大学排名系统的本质和偏见。本研究对人为因素对多准则排名的影响有了更深入的认识。
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A Weighted Subjective Skyline Approach for World University Ranking Systems
Multicriteria ranking has been the center of Multicriteria decision making (MCDM) for a long time, which usually assumes a simple structure of criteria and the objective values of evaluations. In this study, we develop a new multicriteria ranking approach that considers people's subjective attitudes on objective rankings and accommodates a hierarchical structure of criteria. Our new approach, called weighted subjective skyline ranking (WSSR), can capture people's tastes (or bias) under a hierarchy of multicriteria. As a unique behavioral feature, this WSSR accounts for the diminishing sensitivity of people. We can quantitatively characterize the influence of people's subjective attitudes in processing multicriteria ranking. We consider the world university ranking as a practical scenario of implementation through this study. Interestingly, using the WSSR uncovers essentials and bias in prevailing world university ranking systems. This study provides a deeper understanding of the influence of the human factor on multicriteria ranking.
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