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arXiv · 1401.0823

Antipodal Interval-Valued Fuzzy Graphs

Hossein Rashmanlou·Madhumangal Pal
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Abstract

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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BibTeXRIS

Hossein Rashmanlou, Madhumangal Pal. 2014-01-04. Antipodal Interval-Valued Fuzzy Graphs. https://arxiv.org/abs/1401.0823

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