New Algorithms for Hamiltonian Cycle Under Interval Neutrosophic Environment

Author:

Pillai Nagarajan Deivanayagam1ORCID,Malayalan Lathamaheswari1,Broumi Said2,Smarandache Florentin3ORCID,Jacob Kavikumar4ORCID

Affiliation:

1. Hindustan Institute of Technology and Science, India

2. Faculty of Science Ben M'Sik, University Hassan II, Morocco

3. University of New Mexico, USA

4. Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia, Malaysia

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.

Publisher

IGI Global

Reference60 articles.

1. Concepts of Interval-Valued Neutrosophic Graphs

2. Asratian, A. S., Granholm, J. B., & Khachatryam, N. K. (2018). A localization method in Hamiltonian graph theory. arXiv: 1810.10430 [math.CO]

3. Intuitionistic fuzzy sets

4. The Parity of Directed Hamiltonian Cycles

5. The shortest path problem in interval valued trapezoidal and triangular neutrosophic environment

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