Sep 2026· International Journal of Analysis and Applications· 0 citations· 40 references
TL;DR
This study introduces the concept of balanced spherical interval-valued fuzzy graphs based on density functions and investigates their fundamental properties and establishes a set of comprehensive criteria for determining whether a given SIvFG is balanced.
Abstract
Spherical interval-valued fuzzy graphs (SIvFGs) represent a further advancement of the original concept of spherical fuzzy graphs (SFGs). Within this framework, the balanced spherical fuzzy graph forms a distinct subclass that highlights equilibrium in structural relationships. In this study, we introduce the concept of balanced spherical interval-valued fuzzy graphs based on density functions and investigate their fundamental properties and examine their key properties. We also establish a set of comprehensive criteria for determining whether a given SIvFG is balanced. Furthermore, an analytical approach is developed to determine whether an SIvFG is balanced. Overall, this work illustrates how balanced spherical interval-valued fuzzy graphs can effectively model and interpret the interconnections among neighboring nations.
It is demonstrated that these graphs permit intuitionistic fuzzy cube difference graphs (IFCDGs) by assigning distinct MS and NMS values within the range of [0, 1].
S. Jackson, M. Abirami· Journal of Applied Sciences...· 0 citations
This work introduces anti-fuzzy hypergraphs and anti-fuzzy superhypergraphs, formulate their mathematical definitions, and establish basic well-definedness and canonical representation results that provide a unified foundation for max-based uncertainty modeling in higher-order and hierarchical network structures.
Takaaki Fujita, Ajoy Kanti Das, Suman Das et al.· Sustainable Machine Intellig...· 1 citation
In this work, we study the notion of cubic fuzzy competition graphs as a hybrid framework for modeling competitive interactions under uncertainty. The proposed model combines the structure of competition graphs with cubic fuzzy information, where each arc or induced competition relation is described by a point membersh...
M. Ragavi, T. Kannan· INTERNATIONAL JOURNAL OF MAT...· 0 citations
: The Wiener index of a graph G is defined as the sum of the distances between all unordered pairs of vertices. In this paper the Wiener index and hyper-Wiener index of interval-valued Pythagorean fuzzy graph, interval-valued complex Pythagorean fuzzy graph, interval-valued picture fuzzy graph, interval-valued intuitio...
N. Raut· International Journal of Sci...· 0 citations
Level graphs and strong level graphs are introduced as tools to define and compute the chromatic number of BIFGs, demonstrating that the proposed level-graph method yields exact chromatic numbers for classes of BIFGs.
Fikadu Tesgera Tolasa, V. N. S. R. Repalle, G. A. Ganati et al.· F1000Research· 0 citations
This paper introduces and investigates the connectivity properties with [Formula: see text]-PFIG, a novel extension of fuzzy incidence graphs characterized by multiple membership values corresponding to different polarities. The study systematically defines and explores key connectivity concepts, including paths, cycle...
Dilara Akter Mitu, Tanmoy Mahapatra, Abid Ali et al.· Journal of Interconnection N...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.