An Algorithmic determination for the secure dominance in a fuzzy network and its application in medical diagnosis

In communication networks, secure connectivity is critical. The failure of a dominant node may jeopardize the network's stability. As the network grows in size, it becomes increasingly difficult to maintain track of all of its dominant nodes and secure connections. As a result, large network analysis can be performed quickly and easily using a computer system that understands networks as matrices, and a fit algorithm will make calculating work simple and quick. In this paper, we present two algorithms for determining the dominance number and secure dominance number of a fuzzy network, with the objective of comparing the concepts of dominance and secure dominance in a fuzzy structure to diagnose the patient symptoms which guide them to appropriate medical treatment.