A Neural Fuzzy Graph Study Of Contemporary Roman Dominance Using The Strong Arc Model

Abstract

This paper offered absolute effective modern Roman dominance in neural fuzzy graphs For some groups offgraphs the right values on the effective RDN are computed High strong order and degree in the neighbouring arc were used to determine the upper and lower bounds for the entire RDN The Modern Roman Domination Function MRDF does not employ the extra cost for placement at each vertex As a result this is regarded as the important process of this MRDF The existence of roman dominance in neural fuzzy trees is examined To be a roman dominant set the set of neural fuzzy cut nodes must meet both a needed and adequate criteria Additionally it was discovered that every node of an RDS in a nontrivial ftree is an event on an fbridge