Estimating Most Productive Scale Size with Double Frontiers in Data Envelopment Analysis using Negative Data
نویسندگان
چکیده مقاله:
In this paper, it is assumed that the “Decision Making Units“( ) are consist of positive and negative input and output. Firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. These productive values are compared with double frontiers and Hurwicz’s Criterion to obtain DMU with MPSS.
منابع مشابه
estimating most productive scale size with double frontiers in data envelopment analysis using negative data
in this paper, it is assumed that the “decision making units“( ) are consist of positive and negative input and output. firstly, the optimistic and pessimistic models have been suggested by using negative data and then units with most productive scale size are measured in optimistic and pessimistic models. these productive values are compared with double frontiers and hurwicz’s criterion to obt...
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عنوان ژورنال
دوره 3 شماره 4
صفحات 867- 873
تاریخ انتشار 2015-11-01
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