A new robust optimization approach to common weights formulation in DEA

Maziar Salahi, Mehdi Toloo*, Narges Torabi

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

24 اقتباسات (Scopus)

ملخص

Flexibility in selecting the weights of inputs and outputs in data envelopment analysis models and uncertainty associated with the data might lead to unreliable efficiency scores. In this paper, to avoid these problems, first, we discuss robust Charnes, Cooper, Rhodes (CCR) model under Bertsimas and Sim approach. Then, the robust CCR solutions are used to find robust common set of weights under norm-1 and Bertsimas and Sim approach. Finally, on two numerical real-world examples, the performance of the proposed approach is compared by a similar recent approach from the literature to show the advantages of the new method and its applicability.

اللغة الأصليةEnglish
الصفحات (من إلى)1390-1402
عدد الصفحات13
دوريةJournal of the Operational Research Society
مستوى الصوت72
رقم الإصدار6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2021

ASJC Scopus subject areas

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