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Comparison of ranking methods in Data envelopment analysis using Rough set theory | ||
International Journal of Data Envelopment Analysis | ||
دوره 8، شماره 1، اردیبهشت 2020، صفحه 49-58 اصل مقاله (581.18 K) | ||
نوع مقاله: Research Paper | ||
نویسنده | ||
Leila Karamali | ||
Department of Mathematics, Yadegar-e-Imam Khomeini (RAH) Shahre-Rey Branch, Islamic Azad University, Tehran, Iran. | ||
چکیده | ||
Data envelopment analysis is an efficiency evaluation method for assessing DMUs. In this context, ranking efficient DMUs is very important. So far, various models have been provided for this purpose. According to the results of these methods, can be seen that the rank obtained for each DMU will vary. Due to this issue, we cannot provide a specific method to specify ranking to DM. In order to solve this problem, this paper employs the Rough Set theory to determine the compatibility or incompatibility of these methods together and thus provide the appropriate ranking among the existing methods. | ||
کلیدواژهها | ||
Data envelopment analysis (DEA)؛ Ranking؛ Rough set theory (RST) | ||
آمار تعداد مشاهده مقاله: 82 تعداد دریافت فایل اصل مقاله: 92 |