PulseExploreJournal ClubResearchersJournals
Instagram
HomeJournal ClubExplore
Synapse
⌘+K
Synapse
March 21, 2026Journal of MathematicsOpen Access

An Interval‐Valued Fermatean Neutrosophic Framework for Sustainable Transportation Under Uncertainty

View Full Paper
Ask AI
Bookmark
Share

Authors

MKMuhammad KamranMNMuhammad NadeemMEMagda Abd El-Rahman

Discussion

Loading...

Member takes

Overview

A hybrid framework enhances transportation planning efficiency under uncertainty, indicating better outcomes for supply chains.

Key Points

  • The study aims to develop a new framework to improve transportation planning by addressing interval-based uncertainties.
  • Developed a hybrid framework using interval-valued Fermatean neutrosophic fuzzy numbers.
  • Utilized cubic constraints to tighten bounds on feasible solutions.
  • Created a novel scoring function to manage interval uncertainty with classical transportation algorithms.
  • Achieved 15.3% lower average costs compared to interval-valued intuitionistic models.
  • Completely eliminated constraint violations in unbalanced scenarios.
  • Maintained cost efficiency while promoting environmental and social sustainability.

Cite This Study

Kamran et al. (2026) studied this question.

synapsesocial.com/papers/69be37866e48c4981c67742bhttps://doi.org/10.1155/jom/5585878
View Full Paper
Ask AI
Bookmark
Share