Application of Bipolar Fuzzy Sets in Graph Structures
Joint Authors
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-10
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
A graph structure is a useful tool in solving the combinatorial problems in different areas of computer science and computational intelligence systems.
In this paper, we apply the concept of bipolar fuzzy sets to graph structures.
We introduce certain notions, including bipolar fuzzy graph structure (BFGS), strong bipolar fuzzy graph structure, bipolar fuzzy N i -cycle, bipolar fuzzy N i -tree, bipolar fuzzy N i -cut vertex, and bipolar fuzzy N i -bridge, and illustrate these notions by several examples.
We study ϕ -complement, self-complement, strong self-complement, and totally strong self-complement in bipolar fuzzy graph structures, and we investigate some of their interesting properties.
American Psychological Association (APA)
Akram, Muhammad& Akmal, Rabia. 2016. Application of Bipolar Fuzzy Sets in Graph Structures. Applied Computational Intelligence and Soft Computing،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1094907
Modern Language Association (MLA)
Akram, Muhammad& Akmal, Rabia. Application of Bipolar Fuzzy Sets in Graph Structures. Applied Computational Intelligence and Soft Computing No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1094907
American Medical Association (AMA)
Akram, Muhammad& Akmal, Rabia. Application of Bipolar Fuzzy Sets in Graph Structures. Applied Computational Intelligence and Soft Computing. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1094907
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1094907
