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首页> 外文期刊>Central European journal of operations research: CEJOR >Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of Summer Olympic Games 2016
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Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of Summer Olympic Games 2016

机译:使用两阶段数据包络分析模型的体育赛事中的国家排名:2016年夏季奥运会的案例

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摘要

After important sport events as the Summer Olympic Games (SOG) are, the participating countries are ranked according to the number of gold, silver and bronze medals. A lexicographic ranking is usually applied in official reports which leads to higher ranking of countries with one gold and no other medals comparing to countries without any gold but with several silver or bronze medals. Moreover, this ranking does not take into account the specific conditions of the countries (population, economic strength measured by gross domestic product and tradition in sports). The aim of the paper is not only to evaluate the absolute achievements of the countries but evaluate their performance with respect to the resources they can spent. A two-stage data envelopment analysis model is formulated and solved by an original slack-based measure procedure. The first stage evaluates the performance of the countries in training of athletes and the second stage evaluates the achievements of the nominated athletes. The models with variable returns to scale and weight restrictions are applied. The models and their results are illustrated on the case of Olympic Games 2016 and compared with results given by traditional approaches.
机译:经过重要的体育赛事作为夏季奥运会(SOG)是,参与国按照金,银和青铜奖牌的数量排名。词条式排名通常适用于官方报告中,这导致一个金的国家排名,没有其他奖牌,与没有任何金的国家,但有几个银或青铜奖牌。此外,这一排名没有考虑到国家的具体情况(通过国内产品总体和体育传统衡量的经济实力)。本文的目的不仅可以评估各国的绝对成果,而是评估他们可以花费的资源的表现。通过原始的基于Slack的测量程序制定和解决了两阶段数据包络分析模型。第一阶段评估各国在运动员培训方面的表现,第二阶段评估提名运动员的成就。应用具有变量返回的模型和缩放和权重限制。该模型及其结果在2016年奥运会的情况下说明,与传统方法给出的结果相比。

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