Isometry on Interval-valued Fuzzy Graphs

Theoretical concepts of graphs are highly utilized by computer scientists. Especially in research areas of computer science su ch as data mining, image segmentation, clustering image capturing and networ king. The interval-valued fuzzy graphs are more flexible and compatible than fuzzy graphs due to the fact that they allowed the degree of membership of a vertex to an edge to be represented by interval valued in (0,1) rather than the crisp real values b etween 0 and 1. In this paper, we defined isometry on interval-valued fuzzy graphs and show t hat isometry on interval-valued fuzzy graphs is an equivalence relation.

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