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Ranking DMUs with Support Vector Machines by byzkcr is a document available to read on EtoBox.
The study presents a novel hybrid approach for ranking decision-making units (DMUs) using Support Vector Machines (SVM) and the concept of an ideal DMU, aiming to enhance the efficiency measurement process in Data Envelopment Analysis (DEA). It details the methodology, including the algorithm and simulation studies, to demonstrate the effectiveness of the proposed ranking method. The paper contributes to the existing literature by introducing an innovative machine learning-based technique for DMU evaluation
- Author
- byzkcr
- Language
- EN