Shortest Path Problem under Pythagorean Fuzzy Network Using Dijkstra’s Algorithm
In this article investigates the Shortest Path Problem (SPP) in uncertain settings using Pythagorean fuzzy numbers (PFNs). A heuristic methodology using modified Dijkstra's algorithm is developed to exploit error, uncertainty, and partial truth for a low-cost solution. The method calculates minimum distance between starting and destination nodes and evaluates its effectiveness. Pythagorean fuzzy graphs can handle ambiguous situations.
Authors
- M. Asim Basha
- M. Mohammed Jabarulla
Institutions
- Bharathidasan University (IN)
Publication Details
- Journal
- Asian Research Journal of Mathematics
- Published
- 2024-09-21
- DOI
- https://doi.org/10.9734/arjom/2024/v20i10844
- Citations
- 1
- Primary Topic
- Blockchain Technology in Education and Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.78