An Interval-valued Intuitionistic Fuzzy Group Decision Model for Evaluation of Cross-border Railway Development

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Bouraima M. B., AYYILDIZ E., Erdogan M., PAMUCAR D.

Cognitive Computation, cilt.18, sa.1, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/s12559-026-10551-4
  • Dergi Adı: Cognitive Computation
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Psycinfo
  • Anahtar Kelimeler: Cross-border railway transportation, Interval-valued intuitionistic fuzzy sets, SWARA, VIKOR
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

This paper presents a novel approach to prioritize cross-border railway transportation development alternatives using an interval-valued intuitionistic fuzzy group decision model. This model combines Step-Wise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) within an interval-valued intuitionistic fuzzy (IVIF) framework. The study considers nine alternatives and identifies seven barriers in the initial stage to rank these alternatives. The IVIF-SWARA method is then used to determine barrier weights, followed by the IVIF-VIKOR method to rank the alternatives. The key barriers identified include inefficient funding mechanisms, regulatory gaps, and unfavorable concessioning arrangements. Proposed strategies include conducting a legal review and establishing supranational institutions. Furthermore, the study conducts a thorough sensitivity analysis to assess the reliability of the model. This proposed model can provide valuable guidance to East African Community member states and policymakers looking to improve cross-border railway transportation.