Intuitionistic fuzzy cycles and intuitionistic fuzzy trees.
Connectivity has an important role in neural networks, computer network, and clustering. In the design of a network, it is important to analyze connections by the levels. The structural properties of intuitionistic fuzzy graphs provide a tool that allows for the solution of operations research problems. In this paper, we introduce various types of intuitionistic fuzzy bridges, intuitionistic fuzzy cut vertices, intuitionistic fuzzy cycles, and intuitionistic fuzzy trees in intuitionistic fuzzy graphs and investigate some of their interesting properties. Most of these various types are defined in terms of levels. We also describe comparison of these types.
Department of Mathematics, University of the Punjab, New Campus, P.O. Box No. 54590, Lahore, Pakistan.
Muhammad
0000-0001-7217-7962
M
Akram
Department of Mathematics, Faculty of Sciences (Girls), King Abdulaziz University, Jeddah, Saudi Arabia.
N O
NO
Alshehri
D003663:Decision Trees; D017143:Fuzzy Logic; D019545:Intuition