Efficiency Evaluation and Ranking DMUs in the Presence of Interval Data with Stochastic Bounds
الموضوعات : International Journal of Data Envelopment Analysis
Hamid Sharafi
1
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Mohsen Rostamy-Malkhalifeh
2
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Alireza Salehi
3
(Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Mohammad Izadikhah
4
(Department of Mathematics, Islamic Azad University, Arak Branch, Arak, Iran.)
الکلمات المفتاحية: Data envelopment analysis (DEA, Decision making unit (DMU), Efficiency, Ranking, Interval data, stochastic bounds,
ملخص المقالة :
On account of the existence of uncertainty, DEA occasionally faces the situation of imprecise data, especially when a set of DMUs include missing data, ordinal data, interval data, stochastic data, or fuzzy data. Therefore, how to evaluate the efficiency of a set of DMUs in interval environments is a problem worth studying. In this paper, we discussed the new method for evaluation and ranking interval data with stochastic bounds. The approach is exemplified by numerical examples.
