摘要
提出一种模糊DEA求解及排序的完整解决方案,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.
A complete solution option was proposed to solve and rank the fuzzy data envelopment analysis （DEA）. Where the α-cut set was transformed into a linear variable. By means of solution finding, not only the extremum of objective function could be obtained in optimistic and pessimistic situation but the most appropriate value of a could also be obtained for every variables. Finally, by using Monte Carlo simulation the ranking was performed. It was shown by a illustrative computation that this method was effective.
出处
《兰州理工大学学报》
CAS
北大核心
2013年第3期155-159,共5页
Journal of Lanzhou University of Technology
