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Multiple-criteria performance ranking based on profile distributions: An application to university research evaluations

机译:基于配置文件分布的多标准绩效排名:在大学研究评估中的应用

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This article addresses a category of multi-criteria ranking problems in which performance evaluations of the ‘objects’ or ‘alternatives’ to be ranked are not given by unique numbers but by performance profile distributions running over an ordered set of performance score levels. The numerical values to be given to score levels are not specifieda prioriusing cardinal scales. A weighted sum approach is developed based on order statistics to combine the individual profile distributions. In this way, a global ranking indicator is obtained, considering not only mean distribution values but also standard deviations. As a test of feasibility, the resulting Profile Ranking with Order Statistics Evaluations (PROSE) approach has been applied to the performance profile distributions provided by the UK Research Excellence Framework 2014, evaluating the quality of UK research.
机译:本文解决了一类多标准排名问题,在该问题中,要排名的“对象”或“替代项”的绩效评估不是通过唯一的数字给出的,而是通过按绩效得分水平排序的一组绩效概况分布进行的。没有给基数等级指定数值,而是优先确定基数。基于订单统计数据开发了加权总和方法,以组合各个配置文件分布。以这种方式,获得了不仅考虑平均分布值而且考虑标准偏差的全局排名指标。为了进行可行性测试,将所得的带有订单统计评估(PROSE)的档案排名方法应用于2014年英国卓越研究框架提供的绩效档案分布,以评估英国研究的质量。

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