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arXiv 2101.04765cs.AIcs.ITmath.ITmath.OC
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Joint aggregation of cardinal and ordinal evaluations with an application to a student paper competition

University of California, Berkeley(加州大学伯克利分校);Texas A&M University(德州农工大学)

Dorit S. Hochbaum, Erick Moreno-Centeno

英文摘要:

An important problem in decision theory concerns the aggregation of individual rankings/ratings into a collective evaluation. We illustrate a new aggregation method in the context of the 2007 MSOM's student paper competition. The aggregation problem in this competition poses two challenges. Firstly, each paper was reviewed only by a very small fraction of the judges; thus the aggregate evaluation is highly sensitive to the subjective scales chosen by the judges. Secondly, the judges provided both cardinal and ordinal evaluations (ratings and rankings) of the papers they reviewed. The contribution here is a new robust methodology that jointly aggregates ordinal and cardinal evaluations into a collective evaluation. This methodology is particularly suitable in cases of incomplete evaluations -- i.e., when the individuals evaluate only a strict subset of the objects. This approach is potentially useful in managerial decision making problems by a committee selecting projects from a large set or capital budgeting involving multiple priorities.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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