By applying the S-SBM-U model (Long et al. 2020a) examined GIE of several Chinese provinces in Yangtze River Economic Belt, Li and Du (2021) considered Chinese …
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In contrast to radial models, the SBM model identifies all inefficiencies of the concerned DMU by taking input excesses and output shortfalls into the evaluation. The SBM …
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In this chapter, we proposed the slack-based model (SBM) based on DEA-R models. We compare these models to SBM model in DEA. At first, we propose SBM DEA …
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Slacks-Based Measure (SBM) models which was introduced by Tone (2001) put aside the assumption of proportionate changes in inputs and outputs, and deal with slacks directly. It …
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We propose an integrated model that integrates SBM and Super-SBM. The integrated model identifies Pareto-efficient projections. The super-efficiency provided by the …
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This paper provides a comprehensive review of slacks-based measure (SBM) models within the nonparametric data envelopment analysis (DEA) framework. The review …
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By applying the S-SBM-U model (Long et al. 2020a) examined GIE of several Chinese provinces in Yangtze River Economic Belt, Li and Du (2021) considered Chinese cities at prefecture level to...
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This paper provides a comprehensive review of slacks-based measure (SBM) models within the nonparametric data envelopment analysis (DEA) framework. The review …
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In this paper, we propose a linear programming model that integrates SBM and Super-SBM. With the proposed model, we can identify the efficiency of the inefficient DMUs as …
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We integrate SBM model and S-SBM model effectively and yield input saving and output surplus scaling factors as well as input and output slacks under only one integrated …
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First, a super-efficiency SBM model was used to construct the relative effective frontier, and then machine learning algorithms were used to construct a regression model and …
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mobile technologies, health behavior models will be required to guide not only tailored adjustments at intervention initiation but also the dynamic process of frequent iterative …
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