Isometry on Interval-valued Fuzzy Graphs

نویسندگان

  • Hossein Rashmanlou
  • Madhumangal Pal
چکیده

Abstract. Theoretical concepts of graphs are highly utilized by computer scientists. Especially in research areas of computer science such as data mining, image segmentation, clustering image capturing and networking. 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 between 0 and 1. In this paper, we defined isometry on interval–valued fuzzy graphs and show that isometry on interval–valued fuzzy graphs is an equivalence relation.

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عنوان ژورنال:
  • CoRR

دوره abs/1405.6003  شماره 

صفحات  -

تاریخ انتشار 2014