International Journal of Computational Intelligence Systems

Volume 12, Issue 1, November 2018, Pages 90 - 107

Fuzzy Rough Graph Theory with Applications

Authors
Muhammad Akram, m.akram@pucit.edu.pk, Maham Arshadmahamarshad1297@gmail.com, Shumaizashumaiza00@gmail.com
Department of Mathematics, University of the Punjab, New Campus, Lahore, Pakistan*
*Corresponding Author: M. Akram (makrammath@yahoo.com)
Corresponding Author
Muhammad Akramm.akram@pucit.edu.pk
Received 7 March 2018, Accepted 3 August 2018, Available Online 1 November 2018.
DOI
10.2991/ijcis.2018.25905184How to use a DOI?
Keywords
Fuzzy rough relation; Fuzzy rough digraphs; Decision- making
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.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
90 - 107
Publication Date
2018/11/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2018.25905184How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Muhammad Akram
AU  - Maham Arshad
AU  - Shumaiza
PY  - 2018
DA  - 2018/11/01
TI  - Fuzzy Rough Graph Theory with Applications
JO  - International Journal of Computational Intelligence Systems
SP  - 90
EP  - 107
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.25905184
DO  - 10.2991/ijcis.2018.25905184
ID  - Akram2018
ER  -