Data envelopment analysis and robust optimization: A review

Pejman Peykani; Emran Mohammadi; Reza Farzipoor Saen; Seyed Jafar Sadjadi; Mohsen Rostamy-Malkhalifeh

doi:10.1111/exsy.12534

Data envelopment analysis and robust optimization: A review

Pejman Peykani, Emran Mohammadi, Reza Farzipoor Saen^*, Seyed Jafar Sadjadi, Mohsen Rostamy-Malkhalifeh

^*المؤلف المقابل لهذا العمل

Operations Management & Business Statistics

نتاج البحث: المساهمة في مجلة › Review article › مراجعة النظراء

60 اقتباسات (Scopus)

ملخص

This paper reviews the milestone approaches for handling uncertainty in data envelopment analysis (DEA). This paper presents the detailed classifications of robust data envelopment analysis (RDEA). RDEA is appropriate for measuring the efficiencies of decision-making units in the presence of the data and distributional uncertainties. This paper reviews scenario-based and uncertainty set of DEA models. It covers 73 studies from 2008 to 2019. The paper concludes with suggestions about the guidelines for future researches in the field of RDEA.

اللغة الأصلية	English
رقم المقال	e12534
دورية	Expert Systems
مستوى الصوت	37
رقم الإصدار	4
المعرِّفات الرقمية للأشياء	https://doi.org/10.1111/exsy.12534
حالة النشر	Published - أغسطس 1 2020

ASJC Scopus subject areas

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الوصول إلى المستند

10.1111/exsy.12534

الملفات والروابط الأخرى

قم بذكر هذا

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AU - Rostamy-Malkhalifeh, Mohsen

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