A Study on Complex t-Neutrosophic Graph with Intention to Preserve Biodiversity

• Published in: Symmetry (Basel) Vol. 16; no. 8; p. 1033
• Main Authors: Kaviyarasu, Murugan, Cotîrlă, Luminița-Ioana, Breaz, Daniel, Rajeshwari, Murugesan, Rapeanu, Eleonora
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-08-2024
• Subjects: Ambiguity; Artificial intelligence; Biodiversity; Decision making; decision-making and sustainability; Fuzzy sets; graph theory; Graphs; Homomorphisms; Isomorphism; Queuing theory; Set theory; Streaming media; Streaming services; t-neutrosophic graph
• ISSN: 2073-8994; 2073-8994
• DOI: 10.3390/sym16081033

This study introduces the notion of complex t-neutrosophic graphs (CTNGs) as a powerful tool for understanding and displaying complex interactions that are sometimes difficult to understand. It demonstrates that CTNGs may accurately reflect complicated interactions involving several components or dimensions within a particular scenario. It also instructs the basic set operations of CTNGs and analyzes notions like homomorphism and isomorphism within this framework. Furthermore, the research describes a practical application of CTNGs. It illustrates their value in addressing biodiversity conservation by taking into account a variety of relevant factors. The paper uses this application to highlight the flexibility and effectiveness of CTNGs as a tool for decision-makers to visualize and prioritize activities targeted at improving biodiversity conservation.