Data envelopment analysis and cross efficiency
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Data Envelopment Analysis (DEA) has a widespread usage method for measuring and benchmarking relative efficiency of peer decision making units (DMUs) with multiple inputs and outputs. Beside of its widespread usage, DEA has some drawbacks, the most known of which is the unrealistic weight dispersion. Although this case is unreasonable and undesirable, unrealistic weight dispersion occurs, when some DMUs are rated as efficient because of input and output weights have the extreme or zero values. DMUs which have extreme values have potential to be a false positive.
Author
Esin Şehnaz Kulaksızoğlu
How to Cite
Esin Şehnaz Kulaksızoğlu (Master Thesis). Data envelopment analysis and cross efficiency, 2010, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- Evaluatıon of calcium hydroxide removal efficiency of two different irrigation activation techniques from artificial internal resorption cavities prepared at different root levels(2021)
- The use of verbal memory in the context of sustainability and power at the museums of Turk(2010)