Fuzzy rough graph theory with applications

20Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Fuzzy rough set theory is a hybrid method that deals with vagueness and uncertainty emphasized in decision-making. In this research study, we apply the concept of fuzzy rough sets to graphs. We introduce the notion of fuzzy rough digraphs and describe some of their methods of construction. In particular, we consider applications of fuzzy rough digraphs. We also present algorithms to solve decision-making problems regarding selection of a city for treatment and identification of best location in a department to set mobile phone Jammer.

Cite

CITATION STYLE

APA

Akram, M., Arshad, M., & Shumaiza. (2018). Fuzzy rough graph theory with applications. International Journal of Computational Intelligence Systems, 12(1), 90–107. https://doi.org/10.2991/ijcis.2018.25905184

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free