COMPUTATION OF SHORTEST PATH PROBLEM IN A NETWORK WITH SV-TRIANGULAR NEUTROSOPHIC NUMBERS
Abstract
In
this article, we present an algorithm
method for finding the shortest path length between a paired nodes on a network
where the edge weights are characterized
by single valued triangular neutrosophic numbers. The proposed algorithm gives
the shortest path length from source node to destination node based on a
ranking method. Finally, a numerical example is also presented to illustrate
the efficiency of the proposed approach.
Keywords
References
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- Broumi S. , Talea M., Bakali A. , Smarandache F. , Nagarajan D., Lathamaheswari M. and Parimala M. (2019e). “Shortest path problem in fuzzy, intuitionistic fuzzy and neutrosophic environment: an overview”. Complex & Intelligent Systems , ,1-8, https://doi.org/10.1007/s40747-019-0098-z
Details
Primary Language
English
Subjects
Artificial Intelligence
Journal Section
Research Article
Authors
Said Broumi
0000-0001-8099-9413
Türkiye
Assia Bakali
This is me
0000-0001-8099-9413
Mohamed Talea
This is me
0000-0001-8099-9413
Publication Date
December 29, 2019
Submission Date
July 8, 2019
Acceptance Date
December 18, 2019
Published in Issue
Year 2019 Volume: 3 Number: 2
