A nonlinear model for common weights set identification in network Data Envelopment Analysis
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
View: 29
This Paper With 12 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJIM-8-1_010
تاریخ نمایه سازی: 27 دی 1402
Abstract:
In the Data Envelopment Analysis (DEA) the efficiency of the units can be obtained by identifying the degree of the importance of the criteria (inputs-outputs).In DEA basic models, challenges are zero and unequal weights of the criteria when decision- making units are evaluated. One of the strategies applied to deal with these problems is using common weights of the each input/output in all decision making units (DMUs). In practice the DMUs are containing intermediate process. However, these units are considered as a black box in DEA basic models, disregarding internal process. This was the main reason network data envelopment analysis was introduced. On the other hand, similar challenges mentioned for DEA, zero and unequal weights of the criteria, exist for network structures as well. This paper suggests a common set of the weights for network structures to deal with the above problems using nonlinear models, for general case. Also some numerical examples using proposed models are presented.
Keywords:
Network Data Envelopment Analysis (NDEA) , Decision Making Units (DMU) , Efficiency , Epsilon , Assurance Value
Authors
J. Pourmahmoud
Department of Applied Mathematics, Azarbaijan Shahid madani University, Tabriz, Iran.
Z. Zeynali
Department of Applied Mathematics, Azarbaijan Shahid madani University, Tabriz, Iran.