On (r,g)-Cages in Fuzzy Graphs

This paper introduces the concepts of girth of a fuzzy graph, [Formula: see text]-fuzzy graphs, [Formula: see text]-cages in fuzzy graphs, mono-cages, Moore-fuzzy graphs, and the corresponding Moore-fuzzy bounds. The study further establishes conditions under which Moore-fuzzy graphs exist. In particular, it shows that Moore-fuzzy graphs exist for any positive real number [Formula: see text] less than [Formula: see text] for arbitrary girth [Formula: see text], and for any positive real number [Formula: see text] greater than or equal to [Formula: see text] when the girth [Formula: see text] is [Formula: see text] or [Formula: see text].

Authors

Publication Details

Journal
New Mathematics and Natural Computation
Published
2026-05-21
DOI
https://doi.org/10.1142/s179300572750075x
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
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article

On (r,g)-Cages in Fuzzy Graphs

Latha S Nair, Priya Philip
New Mathematics and Natural Computation
Multi-Criteria Decision Making
article

On (r,g)-Cages in Fuzzy Graphs

Latha S Nair, Priya Philip
article en

Abstract

This paper introduces the concepts of girth of a fuzzy graph, [Formula: see text]-fuzzy graphs, [Formula: see text]-cages in fuzzy graphs, mono-cages, Moore-fuzzy graphs, and the corresponding Moore-fuzzy bounds. The study further establishes conditions under which Moore-fuzzy graphs exist. In particular, it shows that Moore-fuzzy graphs exist for any positive real number [Formula: see text] less than [Formula: see text] for arbitrary girth [Formula: see text], and for any positive real number [Formula: see text] greater than or equal to [Formula: see text] when the girth [Formula: see text] is [Formula: see text] or [Formula: see text].

New Mathematics and Natural Computation
Openalex Percentile: Top 3%
Multi-Criteria Decision Making
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