Best output prediction in OECD railways using DEA in conjunction with machine learning algorithms

DOI10.1007/S10479-023-05668-WzbMATH Open1544.90096MaRDI QIDQ6546982

Süleyman Çakır

Publication date: 30 May 2024

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

data envelopment analysissupport vector machinesadaptive neuro-fuzzy inference systemrailway companies

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08) Statistical aspects of big data and data science (62R07)

Cites Work

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• Measuring the efficiency of decision making units
• A comparison of parametric and non-parametric distance functions: With application to European railways
• Support-vector networks
• Ranking sustainable suppliers by context-dependent data envelopment analysis
• PRIVATIZATION OF JAPAN NATIONAL RAILWAYS : DEA TIME SERIES APPROACHES
• A Comparison of Data Envelopment Analysis and Artificial Neural Networks as Tools for Assessing the Efficiency of Decision Making Units
• An Introduction to Statistical Learning

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