dc.description.abstract |
Let G⋆ = (V,E) and H = (V⋆,E⋆) be simple, finite, planar, connected and undirected
graphs, where every edge of G⋆ belongs to at least one subgraph of G⋆ isomorphic to
H. A fuzzy labeling graph G = (κ,τ) on G⋆ is defined by the mappings κ : V → [0,1] and
τ : E → [0,1], which are one-to-one and satisfy the condition:
τ(uv)<min(κ(u),κ(v)) ∀ uv ∈ E.
A fuzzy labeling graph G = (κ,τ) on G⋆ is called an Intuitionistic fuzzy H-magic labeling graph if there exist constants m1 , m2 ∈ (0,v⋆+e⋆) such that for any subgraph H⋆ of G
isomorphic to H, the following conditions hold:
Σu∈V⋆κP(u)+Σv∈E⋆κP(v) = m1
Σu∈V⋆κN(u)+Σv∈E⋆κN(v) = m2
Further, a Neutrosophic Fuzzy H-Magic Labeling Graph is defined if there exist constants m1 , m2 and m3 ∈ (0,v⋆+e⋆), representing positive grade, indeterminacy, and negative
grade, respectively, such that:
Σu∈V⋆κP(u)+Σv∈E⋆κP(u) = m1
Σu∈V⋆κI(u)+Σv∈E⋆κI(v) = m2
Σu∈V⋆κN(u)+Σv∈E⋆κN(v) = m3
In this thesis, I have created and studied new methods for labeling specific types of
graphs such as book graphs, generalized prism graphs and ladder graphs using intuitionistic
fuzzy and neutrosophic fuzzy H-magic labelings of graphs. In areas like network analysis
and decision-making, this study facilitates understanding of graph uncertainty management. |
en_US |