Solving DEA models in a single optimization stage: Can the non-Archimedean infinitesimal be replaced by a small finite epsilon?
详细信息 查看全文
- 作者：Victor V. Podinovski ; a ; v.podinovski@lboro.ac.uk" class="auth_mail" title="E-mail the corresponding author ; Tatiana Bouzdine-Chameevab ; tatiana.chameeva@kedgebs.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Data envelopment analysis ; Single-stage optimization ; Effective bound
- 刊名：European Journal of Operational Research
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：257
- 期：2
- 页码：412-419
- 全文大小：602 K
文摘
- •
Single-stage DEA models assess the radial and mix efficiency of DMUs in one step.
- •
These models use a small lower bound epsilon on input and output weights.
- •
Single-stage models generally incur approximation and computational errors.
- •
We prove that for all sufficiently small epsilon, there is no approximation error.
- •
We develop a programing approach for the assessment of the threshold value of epsilon.