Antipodal Interval-Valued Fuzzy Graphs
Discrete Mathematics
2014-01-07 v1
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.
Keywords
Cite
@article{arxiv.1401.0823,
title = {Antipodal Interval-Valued Fuzzy Graphs},
author = {Hossein Rashmanlou and Madhumangal Pal},
journal= {arXiv preprint arXiv:1401.0823},
year = {2014}
}
Comments
24 pages; 9 figures; 32 referenes