Structural Properties of Elegant Fuzzy Labeling and Fuzzy Vertex Coloring in Fuzzy Labeling Graphs

This paper explores key structural properties of elegant fuzzy labeling graphs, focusing on tree structures, edge classification, and vertex coloring.We begin by characterizing tree structures within this framework and propose a classification of edges based on their strength and connectivity to enhance structural analysis.A significant contribution of this work is the development of an efficient algorithm to determine the minimum fuzzy vertex coloring of a fuzzy labeling graph.Additionally, we introduce a novel approach for determining the fuzzy chromatic polynomial of a fuzzy labeling graph.As an application, we demonstrate how fuzzy vertex coloring can be effectively utilized in session allocation for course scheduling.These findings provide deeper insights into both the structural and computational aspects of fuzzy labeling graphs, contributing to further research in fuzzy graph theory.

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Publication Details

Journal
International Journal of Fuzzy Logic and Intelligent Systems
Published
2026-06-30
DOI
https://doi.org/10.5391/ijfis.2026.26.2.168
Primary Topic
Constraint Satisfaction and Optimization
Type
article
Field-Weighted Citation Impact
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article

Structural Properties of Elegant Fuzzy Labeling and Fuzzy Vertex Coloring in Fuzzy Labeling Graphs

Mahavir B, Nithya Sree A
International Journal of Fuzzy Logic and Intelligent Systems
Constraint Satisfaction and Optimization
article

Structural Properties of Elegant Fuzzy Labeling and Fuzzy Vertex Coloring in Fuzzy Labeling Graphs

Mahavir B, Nithya Sree A
article en

Abstract

This paper explores key structural properties of elegant fuzzy labeling graphs, focusing on tree structures, edge classification, and vertex coloring.We begin by characterizing tree structures within this framework and propose a classification of edges based on their strength and connectivity to enhance structural analysis.A significant contribution of this work is the development of an efficient algorithm to determine the minimum fuzzy vertex coloring of a fuzzy labeling graph.Additionally, we introduce a novel approach for determining the fuzzy chromatic polynomial of a fuzzy labeling graph.As an application, we demonstrate how fuzzy vertex coloring can be effectively utilized in session allocation for course scheduling.These findings provide deeper insights into both the structural and computational aspects of fuzzy labeling graphs, contributing to further research in fuzzy graph theory.

International Journal of Fuzzy Logic and Intelligent SystemsVol. 26(2)
Openalex Percentile: Top 5%
Constraint Satisfaction and Optimization
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