评估棒球大联盟打击表现的多标准方法

Pub Date : 2022-03-26 DOI:10.3233/jsa-200298
S. Wulff, Priyantha G. De Silva
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引用次数: 0

摘要

对玩家表现的评估通常包含许多标准,这些标准代表了玩家感兴趣的表现的各个方面。帕累托最优性和加权聚合是同时根据多个标准评估玩家的有用工具。特别是,帕累托方法允许在标准之间进行比较,不需要权重方案的规格,并且对标准的缩放不敏感。帕累托最优参与者可以根据他们的排名或根据他们与全局最优的距离进行评分,以进行性能的信息比较或评估标准之间的权衡。这些多标准的方法被定义和说明,以评估美国职业棒球大联盟球员的打击表现。
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A multi-criteria approach for evaluating major league baseball batting performance
The evaluation of player performance typically involves a number of criteria representing various aspects of performance that are of interest. Pareto optimality and weighted aggregation are useful tools to simultaneously evaluate players with respect to the multiple criteria. In particular, the Pareto approach allows trade-offs among the criteria to be compared, does not require specifications of weighting schemes, and is not sensitive to the scaling of the criteria. The Pareto optimal players can be scored according to their ranks or according to their distance from the global optimum for informative comparisons of performance or for evaluating trade-offs among the criteria. These multi-criteria approaches are defined and illustrated for evaluating batting performance of Major League Baseball players.
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