| Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency |
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| 引用本文： | BIAN Fuping,TANG Xiaoqin. Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency[J]. 自然科学进展(英文版), 2006, 16(7): 753-759. DOI: 10.1080/10020070612330064 |
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| 作者姓名： | BIAN Fuping TANG Xiaoqin |
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| 作者单位： | 1. Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, China; 2. Liuhui Institute of Applied Mathematics, Nankai University and Tianjin University, Tianjin 300072, China |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | This paper proposes a stochastic prediction DEA model with undesirable outputs and simplifies the process using chance-constrained techniques in order to obtain an equivalent linear programming formulation. The existence and stability of the optimal solutions have been proved. And the model is used to describe and predict the efficiency of anti-HIV therapy in AIDS patients.
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| 关 键 词： | data envelopment analysis (DEA) decision making units (DMU) undesirable outputs stochastic DEA model anti-HIV therapy. |
Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency |
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| BIAN Fuping,TANG Xiaoqin. Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency[J]. Progress in Natural Science, 2006, 16(7): 753-759. DOI: 10.1080/10020070612330064 |
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| Authors: | BIAN Fuping TANG Xiaoqin |
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| Affiliation: | Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, China;Liuhui Institute of Applied Mathematics, Nankai University and Tianjin University, Tianjin 300072, China |
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| Abstract: | This paper proposes a stochastic prediction DEA model with undesirable outputs and simplifies the process using chance-constrained techniques in order to obtain an equivalent linear programming formulation. The existence and stability of the optimal solutions have been proved. And the model is used to describe and predict the efficiency of anti-HIV therapy in AIDS patients. |
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| Keywords: | data envelopment analysis (DEA) decision making units (DMU) undesirable outputs stochastic DEA model antiHIV therapy |
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