A Novel Method for Solving the Time-Dependent Shortest Path Problem under Bipolar Neutrosophic Fuzzy Arc Values

Authors

  • Vidhya K Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203,TamilNadu,India;
  • Saraswathi A Department of Mathematics, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu 603203,TamilNadu,India;
  • Broumi Said 3Faculty of Science Ben MSik, University Hassan II, Casablanca, Morocco;

Keywords:

Shortest Path Problem; Bipolar Neutrosophic Fuzzy Arc Weights; Bellman-ford Algorithm; Time dependent Shortest path problem.

Abstract

 The Shortest path problem is highly relevant in our daily lives, addressing uncertainties like traffic
 conditions and weather variations. To handle such uncertainties, we utilize Fuzzy Numbers. This paper focuses
 on Bipolar Neutrosophic Fuzzy Numbers, which have dual positive and negative aspects. They provide a
 robust framework for representing arc (node/edge) weights, signifying uncertain travel times between nodes.
 Importantly, these weights can change over time in bipolar neutrosophic fuzzy graphs. Our study introduces
 an extended Bellman-Ford Algorithm for identifying optimal paths and minimum times with time-dependent
 Bipolar Neutrosophic Fuzzy arc weights. We demonstrate its effectiveness through a step-by-step numerical
 example and conduct a comparative analysis to evaluate its efficiency.

 

DOI: 10.5281/zenodo.10795555

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Published

2024-03-01

How to Cite

Vidhya K, Saraswathi A, & Broumi Said. (2024). A Novel Method for Solving the Time-Dependent Shortest Path Problem under Bipolar Neutrosophic Fuzzy Arc Values. Neutrosophic Sets and Systems, 65, 80-100. https://fs.unm.edu/nss8/index.php/111/article/view/4297

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