Isometry on Interval-valued Fuzzy Graphs
Discrete Mathematics
2014-05-26 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1405.6003,
title = {Isometry on Interval-valued Fuzzy Graphs},
author = {Hossein Rashmanlou and Madhumangal Pal},
journal= {arXiv preprint arXiv:1405.6003},
year = {2014}
}
Comments
8 pages. arXiv admin note: text overlap with arXiv:1205.6123 by other authors