Towards fair ranking of olympics achievements: the case of Sydney 2000

DOI10.1016/j.cor.2004.09.027zbMath1090.90102OpenAlexW2030210677MaRDI QIDQ2583783

Leonid Churilov, Andrew Flitman

Publication date: 18 January 2006

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2004.09.027

zbMATH Keywords

data envelopment analysisproductivity measurement approach

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Case-oriented studies in operations research (90B90)

Related Items (17)

A Composite Indicator Methodology to Rank National Olympic Committees ⋮ An equilibrium efficiency frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs ⋮ Measuring countries' performance at the Summer Olympic Games in Rio 2016 ⋮ Performance evaluation of participating nations at the 2012 London Summer Olympics by a two-stage data envelopment analysis ⋮ A generalized equilibrium efficient frontier data envelopment analysis approach for evaluating DMUs with fixed-sum outputs ⋮ Determining a common set of weights in a DEA problem using a separation vector ⋮ Multiobjective centralized DEA approach to Tokyo 2020 Olympic Games ⋮ Competition strategy and efficiency evaluation for decision making units with fixed-sum outputs ⋮ Mean value and volume-based sensitivity analysis for Olympic rankings ⋮ Measuring Olympics Achievements via Stochastic Multicriteria Acceptability Analysis ⋮ A dea model with a non discritionary variablefor olympic evaluation ⋮ Performance benchmarking of achievements in the Olympics: an application of data envelopment analysis with restricted multipliers ⋮ Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of summer olympic games 2016 ⋮ Achievement and benchmarking of countries at the Summer Olympics using cross efficiency evaluation method ⋮ Measuring Olympics performance based on a distance-based approach ⋮ Measuring Olympics achievements based on a parallel DEA approach ⋮ Olympic rankings based on objective weighting schemes

Uses Software

• LINDO
• LINGO

Cites Work

• Classifying and characterizing efficiencies and inefficiencies in data development analysis
• Self-organized formation of topologically correct feature maps
• Self-organization and associative memory.
• A new measure of baseball batters using DEA
• Olympic ranking based on a zero sum gains DEA model.
• Measuring the performance of nations at the Summer Olympics using data envelopment analysis
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