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Application of Rough Sets and Data Envelopment Analysis in Performance Decision-Making of Oil Supply Chain Enterprise

机译:粗糙集与数据包络分析在石油供应链企业绩效决策中的应用

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With the theory and method of rough sets, which could be used to discretize the performance evaluation index of oil supply chain enterprise, design decision-making table, establish heuristic attribute reduction algorithm, the performance evaluation index system of oil supply chain enterprise was optimized and reduced. Then, by use of the data envelopment analysis (DEA) model, the relative effectiveness of 26 year input-output case (decision-making unit) was analyzed, the reasons of poor performance were found, and the management information about how to adjust the input-output index was put forward. In addition to, the imperfection of performance evaluation index system and irrationality of statistical data is analyzed.
机译:运用粗糙集的理论和方法,可以离散化石油供应链企业的绩效评价指标,设计决策表,建立启发式属性约简算法,对石油供应链企业的绩效评价指标体系进行了优化和减少。然后,使用数据包络分析(DEA)模型,分析了26年投入产出案例(决策制定单位)的相对有效性,找出了绩效不佳的原因,以及有关如何调整绩效的管理信息。提出了投入产出指标。此外,分析了绩效评估指标体系的不完善和统计数据的不合理性。

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