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What is Cycle in a Network

Neutrosophic Graph Theory and Algorithms
At least three vertices are connected in a closed chain.
Published in Chapter:
New Algorithms for Hamiltonian Cycle Under Interval Neutrosophic Environment
Nagarajan Deivanayagam Pillai (Hindustan Institute of Technology and Science, India), Lathamaheswari Malayalan (Hindustan Institute of Technology and Science, India), Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco), Florentin Smarandache (University of New Mexico, USA), and Kavikumar Jacob (Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Malaysia)
Copyright: © 2020 |Pages: 24
DOI: 10.4018/978-1-7998-1313-2.ch004
Abstract
A cycle passing through all the vertices exactly once in a graph is a Hamiltonian cycle (HC). In the field of network system, HC plays a vital role as it covers all the vertices in the system. If uncertainty exists on the vertices and edges, then that can be solved by considering fuzzy Hamiltonian cycle. Further, if indeterminacy also exist, then that issue can be dealt efficiently by having neutrosophic Hamiltonian cycle. In computer science applications, objects may not be a crisp one as it has uncertainty and indeterminacy in nature. Hence, new algorithms have been designed to find interval neutrosophic Hamiltonian cycle using adjacency matrix and the minimum degree of a vertex. This chapter also applied the proposed concept in a network system.
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