摘要
提出了一种模糊DEA求解及排序的完整解决方案,其基本思想是:将α截集转化为线性变量,通过求解,不仅能得到目标函数的乐观及悲观状态下的极值,而且还能得到各变量最适宜的α值,然后引入Monte Carlo模拟方法进行排序。通过算例说明该方法的有效性。
In this paper, a total solution has been proposed to solve and rank efficient decision making unites （DMUs） in data envelopment analysis （DEA）. The basic thought is to transform a-cut as linear variable, by solving model not only results in efficiency score of optimistic and pessimistic situation but the optimum value of a can be achieved for DMUs, finally, using Monte Carlo simulation to rank. A case is to be analyzed to show the validity of this approach.
出处
《价值工程》
2013年第4期196-198,共3页
Value Engineering
