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

Çakır S.

ANNALS OF OPERATIONS RESEARCH, cilt.335, sa.1, ss.59-77, 2024 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 335 Sayı: 1
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s10479-023-05668-w
  • Dergi Adı: ANNALS OF OPERATIONS RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Computer & Applied Sciences, INSPEC, Public Affairs Index, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.59-77
  • Anahtar Kelimeler: Adaptive neuro-fuzzy inference system, Support vector machines, Data envelopment analysis, Railway companies, D80, C14, C61
  • Recep Tayyip Erdoğan Üniversitesi Adresli: Evet