Volume 6 , Issue 1 , PP: 21-28, 2023 | Cite this article as | XML | Html | PDF | Full Length Article
M. Asim Basha 1 * , M. Mohammed Jabarulla 2 , Broumi said 3
Doi: https://doi.org/10.54216/JNFS.060103
We began a novel technique to dealing with the Neutrosophic Pythagorean shortest route problem in a network in this paper by representing each edge weight as a triangular fuzzy Pythagorean number with dependent Neutrosophic components and Pythagorean fuzzy graph condition.0≤μ_1 (v_i^' )^2+β_1 (v_i^' )^2+σ_1 (v_i^' )^2≤2. The main purpose of this article is to show how to use Neutrosophic Pythagorean fuzzy graphs. As a result, we created the proposed method, which also delivers the shortest path length from the source node (SN) to the destination node by using a ranking function for the Neutrosophic Pythagorean fuzzy Triangular number. Finally, an illustrative instance is supplied for validation.
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Neutrosophic Pythagorean fuzzy Triangular number (NPFTN) , Score function (SF) , Accuracy function (AF) , Neutrosophic Pythagorean shortest path problem (NPSPP).
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