时序多指标决策的具有时间变量的DEA分析方法

在传统DEA模型的基础上, 引入离散时间变量,建立了对时序多指标决策问题的两阶段DEA评价模型.该模型通过各个评价对象的相对有效性解决时序多指标决策问题,避免了人为主观地确定时间权重和指标权重.模型反应了各时间段指标对决策单元有效性的影响,为评价提供更为详细的动态信息.最后,通过实例验证了方法的合理性、有效性.

Decision-Making Method of Time Series multi-indexes with Time-oriented Data Envelopment Analysis Model

This paper introduces the discrete time variable and establishes a two-phase DEA model for Time Series multi-indexes decision-making based on the traditional DEA model. The method solve time series multi-indexes decision-making question through evaluating relative validity of each decision-making unit, avoiding to determine the weight of time and the weight of indexes subjectively. The model reflects the effect of several stages indexes on the efficiency of DMU so as to provide more detailed dynamic information for evaluation. In the end, the example indicates that the method is valuable and feasible.