On Domination and Related Concepts of Multidimensional Fuzzy Graphs and Their Applications

Domination and its associated concepts are significant ideas in fuzzy graph theory that have applications in diverse fields such as neural networks, game theory, and telecommunication. This study presents the notions of dominance and its associated research in a broader form of fuzzy graph called the multidimensional fuzzy graph. Basic results, such as the relationship between these parameters and vertices, edges, minimal sets, and so forth, are identified and illustrated with appropriate examples. The dominance number of multidimensional fuzzy graphs is determined after undergoing operations such as direct product, tensor product, composition, join, and others. Ultimately, this study displays a decision-making problem that can be efficiently addressed by utilizing the concept of the dominance number. The effectiveness of this approach is then compared to various models, like [Formula: see text]-polar fuzzy sets.

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Publication Details

Journal
New Mathematics and Natural Computation
Published
2024-09-20
DOI
https://doi.org/10.1142/s1793005726500249
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

On Domination and Related Concepts of Multidimensional Fuzzy Graphs and Their Applications

Sunil Jacob John, Jomal Josen
New Mathematics and Natural Computation
Multi-Criteria Decision Making
article

On Domination and Related Concepts of Multidimensional Fuzzy Graphs and Their Applications

Sunil Jacob John, Jomal Josen
article en

Abstract

Domination and its associated concepts are significant ideas in fuzzy graph theory that have applications in diverse fields such as neural networks, game theory, and telecommunication. This study presents the notions of dominance and its associated research in a broader form of fuzzy graph called the multidimensional fuzzy graph. Basic results, such as the relationship between these parameters and vertices, edges, minimal sets, and so forth, are identified and illustrated with appropriate examples. The dominance number of multidimensional fuzzy graphs is determined after undergoing operations such as direct product, tensor product, composition, join, and others. Ultimately, this study displays a decision-making problem that can be efficiently addressed by utilizing the concept of the dominance number. The effectiveness of this approach is then compared to various models, like [Formula: see text]-polar fuzzy sets.

New Mathematics and Natural ComputationVol. 22(02)
National Institute of Technology Calicut (IN)
Openalex Percentile: Top 81%
Multi-Criteria Decision Making
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On Domination and Related Concepts of Multidimensional Fuzzy Graphs and Their Applications — Sunil Jacob John, Jomal Josen · New Mathematics and Natural Computation (2024) | TGRS Research Map | TGRS