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传统的数据包络分析(DEA)方法应用于绩效评估无法体现决策者的决策偏好,也无法对有效评价单元进行全排序。在考虑偏好的前提下,运用主观评价方法构造DEA偏好矩阵;以理想点排序(TOPSIS)原理为基础,通过虚拟最优和最差前沿面的方式构造正理想点和负理想点,并以相对贴近度指数计算各评价单元的DEA全排序值。采用12家采油厂的数据进行实例分析,分别以油气生产、安全生产和环保生产为优先条件进行绩效评估,结果显示改进TOPSIS-DEA模型方法在采油厂绩效评估优选中有实用意义。
The traditional data envelopment analysis (DEA) method used in performance evaluation can not reflect the decision-making preferences of decision-makers, nor can the full evaluation of the effective unit of sort. On the premise of considering preference, the subjective evaluation method is used to construct the DEA preference matrix. Based on the TOPSIS principle, the ideal and negative ideal points are constructed by means of the virtual optimal and the worst frontier, Proximity index to calculate the DEA full ranking value of each evaluation unit. Based on the data of 12 oil production plants, the performance evaluation was conducted with the priority of oil and gas production, safety production and environmental protection production respectively. The results show that improving the TOPSIS-DEA model has practical significance in the performance evaluation and optimization of oil production plant.