Editing Data envelopment analysis (section)

==Extensions==
A desire to improve upon DEA by reducing its disadvantages or strengthening its advantages has been a major cause for discoveries in the recent literature. The currently most often DEA-based method to obtain unique efficiency rankings is called "cross-efficiency." Originally developed by Sexton et al. in 1986,<ref name=":2">Sexton (1986)</ref> it found widespread application ever since Doyle and Green's 1994 publication.<ref name=Doyle>Doyle (1994)</ref> Cross-efficiency is based on the original DEA results, but implements a secondary objective where each DMU peer-appraises all other DMU's with its own factor weights. The average of these peer-appraisal scores is then used to calculate a DMU's cross-efficiency score. This approach avoids DEA's disadvantages of having multiple efficient DMUs and potentially non-unique weights.<ref name=nonu>Dyson (2001)</ref> Another approach to remedy some of DEA's drawbacks is Stochastic DEA,<ref name=":1" /> which synthesizes DEA and [[Stochastic Frontier Analysis]] (SFA).<ref name=olesen>Olesen et al (2016)</ref>