Mosaic
发表于 2025-3-28 18:11:12
Data Envelopment Analysis and Big Data: Revisit with a Faster Method,ork provides the fastest available technique in the DEA literature to deal with big data. It is well known that as the number of decision-making units (DMUs) or the number of inputs–outputs increases, the size of DEA linear programming problems increases; and thus, the elapsed time to evaluate the p
欺骗手段
发表于 2025-3-28 18:46:33
,Data Envelopment Analysis (DEA): Algorithms, Computations, 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 computational geometry, statistics, and machine learning. This chapter reviews these topics from
Mobile
发表于 2025-3-29 01:41:28
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Individual
发表于 2025-3-29 03:07:55
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ELATE
发表于 2025-3-29 08:55:52
Data Envelopment Analysis and Non-parametric Analysis,on the non-parametric derivation of the Production Possibility Set (PPS), on the multiplicity of DEA models and on how to handle different types of situations, namely, undesirable outputs, ratio variables, multi-period data, negative data non-discretionary variables, and integer variables.
Eulogy
发表于 2025-3-29 13:04:58
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disciplined
发表于 2025-3-29 16:40:03
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Debate
发表于 2025-3-29 21:56:12
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单独
发表于 2025-3-30 01:41:20
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悬崖
发表于 2025-3-30 04:36:23
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