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Efficiency Decomposition with Enhancing Russell Measure in Data Envelopment Analysis | Science Publications

机译:数据包络分析中效率提高与罗素测度的分解科学出版物

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> Problem statement: Most studies about the application of Data Envelopment Analysis (DEA) follow the concept of radial and non-radial efficiency measures. Because of some difficulties with the measure of weights, Russell measure utilizes the mean of all input/output efficiency measurements as the efficiency score of a specific business unit. However, this may render bias. Approach: This study provided a reasonable mechanism in the determination of user-specified weights for inputs to enhance the Russell measure which avoids the computational and interpretative difficulties. Results: Additionally, it can assist the decision maker in determining the relative importance of factors to improve the discrimination level of business unit efficiencies. Conclusion: The major advantages of the proposed technique are that it can not only provide a reasonable mechanism in the determination of user specified weights but also enhance the Russell measure. In addition, it can assist the decision maker in determining the relative importance of factors to improve the discrimination level of DMUs efficiencies and ensure the optimal scores of DMUs as the CCR efficiency.
机译: > 问题陈述:关于数据包络分析(DEA)应用的大多数研究都遵循径向和非径向效率度量的概念。由于权重度量存在一些困难,Russell度量将所有输入/输出效率度量的平均值用作特定业务部门的效率得分。但是,这可能会带来偏差。 方法:该研究为确定用户指定的输入权重提供了合理的机制,以增强Russell度量,从而避免了计算和解释上的困难。 结果:此外,它可以帮助决策者确定因素的相对重要性,以提高业务部门效率的歧视程度。 结论:该技术的主要优点在于,它不仅可以为确定用户指定的权重提供合理的机制,而且可以增强Russell度量。此外,它可以帮助决策者确定因素的相对重要性,以提高DMU效率的判别水平,并确保DMU的最佳得分作为CCR效率。

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