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.

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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
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article

Shortest Path Problem under Pythagorean Fuzzy Network Using Dijkstra’s Algorithm

M. Asim Basha, M. Mohammed Jabarulla
1 citations
Asian Research Journal of Mathematics
Blockchain Technology in Education and Learning
0.78
article

Shortest Path Problem under Pythagorean Fuzzy Network Using Dijkstra’s Algorithm

M. Asim Basha, M. Mohammed Jabarulla
article en
1 citations

Abstract

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.

Asian Research Journal of MathematicsVol. 20(10)
Bharathidasan University (IN)
Openalex Percentile: Top 21%
Blockchain Technology in Education and Learning
0.78
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