A review of inverse data envelopment analysis: origins, development and future directions
Data envelopment analysis (DEA) is a widely used mathematical programming approach for
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …
assessing the efficiency of decision-making units (DMUs) in various sectors. Inverse DEA is …
[HTML][HTML] An inverse data envelopment analysis model for solving time substitution problems
M Ghiyasi - Decision Analytics Journal, 2024 - Elsevier
This paper proposes new inverse data envelopment analysis (DEA) models considering
input and output efficiency measures for the time substitution problem. We compare our DEA …
input and output efficiency measures for the time substitution problem. We compare our DEA …
Advances in inverse data envelopment analysis: empowering performance assessment
Data envelopment analysis (DEA) is a non-parametric optimization approach that was first
introduced by Charnes et al.(1978) and is widely used for assessing the performance and …
introduced by Charnes et al.(1978) and is widely used for assessing the performance and …
Efficiency analysis in knitted fabric portfolio management using DEA
Purpose The purpose of this paper is to develop a decision-making protocol to meet the new
requirements in an atypical panorama, such as the economic instability, in the textile …
requirements in an atypical panorama, such as the economic instability, in the textile …
[HTML][HTML] A novel model for merger analysis and target setting: A CSW-Inverse DEA approach
The inverse data envelopment analysis (DEA) is an advanced complementary method for
efficiency analysis using the classical DEA approach. One of the inverse DEA (InvDEA) …
efficiency analysis using the classical DEA approach. One of the inverse DEA (InvDEA) …
Assessing sustainability indicators using inverse integer-valued data envelopment analysis with undesirable outputs
Abstract Conventional Inverse Data Envelopment Analysis (Inverse DEA) models examine
the changes of real-valued inputs (respectively, outputs) of DMUs for the perturbation of real …
the changes of real-valued inputs (respectively, outputs) of DMUs for the perturbation of real …
Non-cooperative two-stage inverse DEA: a Stackelberg games approach for the efficiency analysis of China's regional economic development and people's living …
This paper proposes a two-stage inverse DEA model combined with Stackelberg's game
theory for the efficiency measurement of China's regional economic development and …
theory for the efficiency measurement of China's regional economic development and …
Improving efficiency evaluation in the presence of ratio data: inverse non-radial Enhanced Russell Models
Abstract Accepted by: Ali Emrouznejad In many real-world scenarios, decision makers often
rely on data available in ratio form. Under the data envelopment analysis (DEA) framework …
rely on data available in ratio form. Under the data envelopment analysis (DEA) framework …
New insights and theoretical conditions for determining minor and major consolidations in the inverse DEA
M Ghiyasi - IMA Journal of Management Mathematics, 2024 - academic.oup.com
Abstract Accepted by: Ali Emrouznejad In the current paper, we propose new conditions for
determining major and minor consolidation using the inverse data envelopment analysis …
determining major and minor consolidation using the inverse data envelopment analysis …
Estimating outputs using an inverse non-radial model with non-discretionary measures: An application for restaurants
MJS Noveiri, S Kordrostami… - Croatian Operational …, 2023 - hrcak.srce.hr
Sažetak Few inverse data envelopment analysis (DEA) models have incorporated non-
discretionary measures based on radial efficiency values. However, the efficiency may be …
discretionary measures based on radial efficiency values. However, the efficiency may be …