Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees
Joint Authors
Akram, Muhammad
Alshehri, Noura Omair
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Connectivity has an important role in neural networks, computer network, and clustering.
In the design of a network, it is important to analyze connections by the levels.
The structural properties of intuitionistic fuzzy graphs provide a tool that allows for the solution of operations research problems.
In this paper, we introduce various types of intuitionistic fuzzy bridges, intuitionistic fuzzy cut vertices, intuitionistic fuzzy cycles, and intuitionistic fuzzy trees in intuitionistic fuzzy graphs and investigate some of their interesting properties.
Most of these various types are defined in terms of levels.
We also describe comparison of these types.
American Psychological Association (APA)
Akram, Muhammad& Alshehri, Noura Omair. 2014. Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049151
Modern Language Association (MLA)
Akram, Muhammad& Alshehri, Noura Omair. Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1049151
American Medical Association (AMA)
Akram, Muhammad& Alshehri, Noura Omair. Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1049151
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049151