天津大学学报(英文版)
天津大學學報(英文版)
천진대학학보(영문판)
TRANSACTIONS OF TIANJIN UNIVERSITY
2004年
1期
34-38
,共5页
data envelopment analysis(DEA)%undesirable outputs%multiple goal programming%mixed DEA model%prediction
Data envelopment analysis (DEA) has become a standard non-parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it can solve the prediction problem with multiple inputs and outputs which can not be solved easily by the regression analysis method.But the traditional DEA models can not solve the problem with undesirable outputs,so in this paper the inherent relationship between goal programming and the DEA method based on the relationship between multiple goal programming and goal programming is explored,and a mixed DEA model which can make all factors of inputs and undesirable outputs decrease in different proportions is built.And at the same time,all the factors of desirable outputs increase in different proportions.
