Network DEA based on DEA-ratio

Financial Innovation

Dariush Akbarian¹ 

[1] Department of Mathematics, Arak Branch, Islamic Azad University, Arak, Iran;

关键词: Data envelopment analysis;    DEA-R;    Two-stage DEA;   

DOI  :  10.1186/s40854-021-00278-6

来源: Springer

【 摘 要 】

Data envelopment analysis (DEA) is a technique to measure the performance of decision-making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal structure of DMUs is ignored. Two-stage DEA models are special case network DEA models that explore the internal structures of DMUs. Most often, one output cannot be produced by certain input data and/or the data may be expressed as ratio output/input. In these cases, traditional two-stage DEA models can no longer be used. To deal with these situations, we applied DEA-Ratio (DEA-R) to evaluate two-stage DMUs instead of traditional DEA. To this end, we developed two novel DEA-R models, namely, range directional DEA-R (RDD-R) and (weighted) Tchebycheff norm DEA-R (TND-R). The validity and reliability of our proposed approaches are shown by some examples. The Taiwanese non-life insurance companies are revisited using these proposed approaches and the results from the proposed methods are compared with those from some other methods.

【 授权许可】

CC BY