The Shortest Path Problem in Neutrosophic Triangular Fuzzy Environment

Authors

  • G Sudha
  • P Jamunadevi
  • R Sophia Porchelvi
  • R Vanitha
  • R Seema
  • C Jayabharathi

Keywords:

Fuzzy Number, Graded Mean Integration Representation, Neutrosophic Fuzzy Distance, Shortest path problem.

Abstract

This paper introduces a new type of fuzzy shortest path network problem using triangular fuzzy number. Using the graded mean integration form of the generalized fuzzy number for each node, the smallest edge is identified based on fuzzy distance, thereby determining the optimal shortest path for the problem.

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Published

2025-04-15

How to Cite

G Sudha, P Jamunadevi, R Sophia Porchelvi, R Vanitha, R Seema, & C Jayabharathi. (2025). The Shortest Path Problem in Neutrosophic Triangular Fuzzy Environment. International Journal of Progressive Research in Science and Engineering, 6(04), 95–97. Retrieved from https://journal.ijprse.com/index.php/ijprse/article/view/1172

Issue

Vol. 6 No. 04 (2025): April

Section

Articles

License

Copyright (c) 2025 G Sudha, P Jamunadevi, R Sophia Porchelvi, R Vanitha, R Seema, C Jayabharathi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.