Circular Economy Strategies to Promote Sustainable Development using t-Neutrosophic Fuzzy graph
Keywords:
Graph Theory, t- Neutrosophic Fuzzy Graph, Decision Making, and SustainabilityAbstract
This study discusses the use of t-neutrosophic graphs to express and understand complex
interactions. It also shows how these graphs might manage intricate relationships with a wide range of
variables or scenario elements. Additionally, it offers fundamental t-neutrosophic graph operations
and talks about concepts in these graphs such as homomorphism and isomorphism. Additionally, the
study addresses how this approach may be applied in practical contexts to address circular economies
and sustainability growth. Through the use of t-neutrosophic graphs, various components, and their
connections, the research demonstrates that managing the several circular dimensions is feasible.
financial system. This example shows how adaptable and practical t-neutrosophic graphs are as a
tool for developing policies and making decisions about complicated social issues that involve some
numbers principles.
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