An optimization study based on Dijkstra algorithm for a network with trapezoidal picture fuzzy numbers

Path finding models attempt to provide efficient approaches for finding shortest paths in networks. A well-known shortest path algorithm is the Dijkstra algorithm. This paper redesigns it in order to tackle situations in which the parameters of the networks may be uncertain. To be precise, we allow...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 33; no. 4; pp. 1329 - 1342
Main Authors:	Akram, Muhammad, Habib, Amna, Alcantud, José Carlos R.
Format:	Journal Article
Language:	English
Published:	London Springer London 01.02.2021 Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Dijkstra's algorithm Fuzzy systems Graphical representations Image Processing and Computer Vision Optimization Original Article Parameter uncertainty Probability and Statistics in Computer Science Shortest-path problems Shortest path problem Picture fuzzy number Trapezoidal picture fuzzy number Score function Dijkstra algorithm
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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