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Network DEA with common weights

Authors: Hatami-Marbini, A.;

Network DEA with common weights

Abstract

Data envelopment analysis (DEA) generally includes two properties. First, DEA is based upon the overall efficiency without observing the internal structure of a production system. Second, a multiplier DEA model allows a production system to select input and output weights in a total flexible way. However, it is essential to deal with these two properties in reality. This paper presents a common-weights DEA model where the internal structure of a production system is known. We also present a numerical example to exemplify the applicability of the proposed model in this research.

Country
United Kingdom
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Keywords

Data envelopment analysis

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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