Efficency Measurment of Network DEA with Interval Data
Publish place: Sixth International Conference on DEA
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
View: 738
متن کامل این Paper منتشر نشده است و فقط به صورت چکیده یا چکیده مبسوط در پایگاه موجود می باشد.
توضیح: معمولا کلیه مقالاتی که کمتر از ۵ صفحه باشند در پایگاه سیویلیکا اصل Paper (فول تکست) محسوب نمی شوند و فقط کاربران عضو بدون کسر اعتبار می توانند فایل آنها را دریافت نمایند.
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
DEA06_047
تاریخ نمایه سازی: 16 خرداد 1394
Abstract:
Data envelopment analysis (DEA) is a non-parametric technique for evaluation of relative efficiency of decision making units described by multiple inputs and outputs. It is based on solving linear programming problems. Since 1978 when basic DEA model was introduced many its modifications were formulated. Among them are two or multi-stage models with serial or parallel structure often called network DEA models that are widely discussed in professional community in the last years. The exact known inputs and outputs are required in these DEA models. However, in the real world, the concern is systems with interval data. In this study, we suggest an approach to measure the efficiency of series and parallel systems with interval data that preserves the linearity of DEA model. Also, the interval DEA models are proposed to measure the lower and upper bounds of the efficiency of each DMU with interval data.
Keywords:
Authors
S. Keikha- Javan
Master, Yang Researchers and Elite Club, Islamic Azad University, Zahedan Branch, Zahedan, Iran
M. Rostamy-Malkhalifeh
Assistant Professor, Department of mathematics, Islamic Azad University, Science and Research Branch,Tehran, Iran.