Antipodal Interval-Valued Fuzzy Graphs

نویسندگان

  • Hossein Rashmanlou
  • Madhumangal Pal
چکیده

Concepts of graph theory have applications in many areas of computer science including data mining, image segmentation, clustering, image capturing, networks, etc . An interval-valued fuzzy set is a generalization of the notion of a fuzzy set. Interval-valued fuzzy models give more precision, flexibility and compatibility to the system as compared to the fuzzy models. In this paper, we introduce the concept of antipodal interval valued fuzzy graph and self median interval-valued fuzzy graph of the given interval-valued fuzzy graph. We investigate isomorphism properties of antipodal interval valued fuzzy graphs.

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عنوان ژورنال:
  • CoRR

دوره abs/1401.0823  شماره 

صفحات  -

تاریخ انتشار 2013