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