基于白化值的区间DEA建模
发布时间：2019-05-29 03:30
【摘要】：传统数据包络分析要求输入输出数据为精确数,然而在某些实际应用中,区间形式的数据相较于精确数更容易获得.将区间数转化为白化值,并基于传统C~2R模型提出了基于白化值的区间C~2R模型.考虑到决策单元的有效性不易通过基于白化值的区间C~2R模型来判断,因此将非阿基米德无穷小概念引入到上述模型,构建了具有非阿基米德无穷小的区间C~2R模型.此外,还给出了用于判断决策单元有效性的区间目标规划方法:分别通过G_(IC~2R)模型和WG_(IC~2R)模型判断决策单元是否为区间DEA有效与区间弱DEA有效.
[Abstract]:Traditional data envelopment analysis (DEA) requires that the input and output data be accurate numbers. however, in some practical applications, interval data are easier to obtain than exact numbers. The interval number is transformed into whitening value, and based on the traditional C 鈮，
本文编号：2487601
[Abstract]:Traditional data envelopment analysis (DEA) requires that the input and output data be accurate numbers. however, in some practical applications, interval data are easier to obtain than exact numbers. The interval number is transformed into whitening value, and based on the traditional C 鈮，
本文编号：2487601
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