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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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 -