The primary driver of ensemble ranking is efficiency of the Simplex procedure in solving DEA models. The largest model (in terms of number of variables and ...
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In this paper, we propose and test a model averaging ensemble approach that results in unique DMU rankings. We also prove that ensemble based ranking of DMUs ...
In this paper, we propose and test a model averaging ensemble approach that results in unique DMU rankings. We also prove that ensemble based ranking of DMUs ...
In this paper, we propose and test a model averaging ensemble approach that results in unique DMU rankings. We also prove that ensemble based ranking of DMUs ...
In this paper, we propose and test a model averaging ensemble approach that results in unique DMU rankings. We also prove that ensemble based ranking of DMUs ...
Fingerprint. Dive into the research topics of 'Ensemble based ranking of decision making units'. Together they form a unique fingerprint.
The proposed ensemble ranking enables us to compute a consensus index and a trust level for the final aggregated ranking. •. As a real-world implementation, we ...
Ensemble Based Ranking of Decision Making Units. PARAG C. PENDHARKAR. Show full list: 1 author. Publication type: Journal Article. Publication date: 2013-08-01.
This study identifies the most suitable maintenance schedule between uncertainties related to solution ranking methods and future scenarios.
Abstract. One of the essential problems in multi-criteria decision-making (MCDM) is ranking a set of alternatives based on a set of criteria.
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