estimating most productive scale size with double frontiers in data envelopment analysis using negative data
نویسندگان
چکیده
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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For better guiding a system, senior managers should have accurate information. Using Data Envelopment analysis (DEA) help managers in this objective. Thus, many investigations have been made in order to find the most productive scale size (MPSS) for the evaluating decision making units (DMUs). In this paper we consider this case where there exist subsets of input and output variables to be inte...
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عنوان ژورنال:
international journal of data envelopment analysisجلد ۳، شماره ۴، صفحات ۸۶۷-۸۷۳
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