Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees

Joint Authors

Akram, Muhammad
Alshehri, Noura Omair

Source

The Scientific World Journal

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