Google
×
Highlights:. • A new robust worst-practice model is formulated. • A numerical example and a case study are provided to validate the suggested model.
Robust worst-practice interval DEA with non-discretionary factors · A ... Several robust DEA models based on the adaptation of recently developed robust ...
In this paper, we examine the WPF-DEA from basics and further propose novel robust WPF-DEA models in the presence of interval data uncertainty and non- ...
A. Arabmaldar, E.K. Mensah and M. Toloo, Robust worst-practice interval DEA with non-discretionary factors. Expert Syst. Appl. 182 (2021) 115256.
Data envelopment analysis (DEA) based productivity indexes models are widely applied to evaluate the productivity of decision-making units over a period.
This paper develops an imprecise DEA approach with dual-role factors based on revised production possibility sets. ... M(2022)Robust worst-practice interval DEA ...
This paper proposes a robust window data envelopment analysis (RWDEA) approach for assessing the dynamic performance of decision making units (DMU)
Arabmaldar, Robust worst-practice interval DEA with non-discretionary factors, Expert Syst Appl https://doi.org/10.1016/j.eswa.2021.115256; Banker, Some ...
Jun 24, 2013 · In this paper, a modified method is provided to determine the RTS in the existence of non-discretionary factors with interval inputs and outputs ...
Co-authors ; Robust worst-practice interval DEA with non-discretionary factors. A Arabmaldar, E Kawsi Mensah, M Toloo. Expert Systems With Applications 182, 2021.