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Stochastic DEA model with undesirable outputs: An application to the prediction of anti-HIV therapy efficiency
作者姓名:BIAN Fuping  TANG Xiaoqin
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
基金项目:国家高技术研究发展计划(863计划)
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.

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
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.
Authors:BIAN Fuping  TANG Xiaoqin
Institution:Department of Mathematics, School of Science, Tianjin University, Tianjin 300072, China;Liuhui Institute of Applied Mathematics, Nankai University and Tianjin University, Tianjin 300072, China
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.
Keywords:data envelopment analysis (DEA)  decision making units (DMU)  undesirable outputs  stochastic DEA model  antiHIV therapy
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