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Improving discrimination in data envelopment analysis: PCA–DEA or variable reduction
European Journal of Operational Research, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicole Adler, Ekaterina Yazhemsky
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The Data Envelopment Analysis (DEA) for determining the efficiency of a production
2003The Data Envelopment Analysis (DEA) is a relatively new method to measure Technical Efficiency (TE). TE of a Decision Making Unit (DMU) is defined as a ratio of the produced goods and services (Outputs) to the used resources (Inputs). Efficiency comparison become more complicated when market values of the Inputs and Outputs are not available and the ...
Lissitsa, Alexej +3 more
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Data Envelopment Analysis (DEA) in Industry 4.0
2023 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2023Diana María Montoya +2 more
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The Theory of Complex-valued Data Envelopment Analysis (DEA)
Systemic AnalyticsTraditional Data Envelopment Analysis(DEA) assumes real-valued inputs or outputs. There has been several studies in the literature dealing with uncertain data set. But the question raises in present of complex-valued data set. The major application of the data set comes back to electronic engineering.
Mahnaz Maghbouli +2 more
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Efficiency Measurement Using Data Envelopment Analysis (DEA)
1998This chapter is a pivotal chapter in this book. We now begin to explicitly consider the issue of inefficiency. In the previous four chapters we have discussed least squares econometric methods and index number methods, which implicitly assume that all firms are fully efficient.
Tim Coelli +2 more
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Performance Measurement Using Data Envelopment Analysis (DEA)
2014The 1980s brought many challenges to hospitals as they attempted to improve the efficiency of health care delivery through the fixed pricing mechanism of Diagnostic Related Groupings (DRGs). In the 1990s, the federal government extended the fixed pricing mechanism to physicians’ services through Resource-Based Relative Value Scale (RBRVS). Enacted more
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Data Envelopment Analysis (DEA): Algorithms, Computations, and Geometry
2020Data Envelopment Analysis (DEA) has matured but remains vibrant and relevant, in part, because its algorithms, computational experience, and geometry have a broad impact within and beyond the field. Algorithmic, computational, and geometric results in DEA allow us to solve larger problems faster; they also contribute to various other fields including ...
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