Open AccessJournal Article
Comparing Arash Model with SBM in DEA
TLDR
This paper demonstrates the advantages of Arash Method in comparison with slack based measure (SBM) to benchmark decision making units (DMUs) and suggests the nonlinear AM.Abstract:
This paper demonstrates the advantages of Arash Method (AM) in comparison with slack based measure (SBM) to benchmark decision making units (DMUs). The paper also suggests the nonlinear AM. A proposition and a numerical example are also illustrated the validity of the statements.read more
Citations
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A new method for evaluating decision making units in DEA
TL;DR: A technique to estimate the DEA efficient frontier based on the Arash Method in a way different from the statistical inferences is proposed, which allows decisions in the target regions instead of points to benchmark DMUs without requiring any more information in the case of interval/fuzzy DEA methods.
Journal ArticleDOI
A new robust mixed integer-valued model in DEA
TL;DR: In this article, a robust mixed integer linear programming (MILP) model is proposed to estimate the performance of decision making units (DMUs) including both integer and real values in data envelopment analysis (DEA).
Journal ArticleDOI
Nonlinear arash model in DEA
TL;DR: In this article, the nonlinear Arash Model (AM) was used in Data Envelopment Analysis (DEA) to distinguish between technical and non-technical DMUs and arrange both technical and inefficient DMUs at the same time.
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Efficiency of Life Insurance Companies: An Empirical Study in Mainland China and Taiwan:
TL;DR: In this paper, the authors employed metafrontier and four-stage data envelopment analysis (DEA) to measure the overall and individual efficiency of life insurance companies in mainland China and Taiwan, after applyi...
Journal Article
Arash method and uncontrollable data in DEA
TL;DR: The Arash Method (AM) is improved to assess the efficiency scores of DMUs which have some uncontrollable data and it is illustrated how it would be possible to examine the effects of uncontrollableData to find the efficient DMUs among the technical efficient ones and also arrange both inefficient and technical efficientDMUs at the same time.
References
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Journal Article
A New Method in Data Envelopment Analysis to Find Efficient Decision Making Units and Rank both Technical Efficient and Inefficient DMUs together
TL;DR: The study identifies the definitions of those terms and gives a new strong method to characterize efficient DMUs among the technical efficient ones and characterized the worth and benefits of the new proposed model in comparison with all current DEA models.