New Concepts of Intuitionistic Fuzzy Trees with Applications

Abstract It is known that Intuitionistic fuzzy models give more precision, flexibility and compatibility to the system as compared classic models. tree has an important role in neural networks, computer clustering. In design of a network, it analyze connections between levels. addition, intuitionistic becoming increasingly significant applied different areas real life. The study proposes novel concepts graph (IFG) some basic definitions. We investigate types arcs, for example, $$\alpha _{\mu }$$ ? ? -strong, $$\beta ? $$\delta ? -arc graph, introduce their properties. particular, present work develops bridge (IFB), cut nodes (IFCN) properties bridge. Next, we define cycle (IFC) (IFT). Likewise, discuss IFT relationship cycle. Finally, application illustrated other sciences.