Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees
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 probl...
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| Format: | Online |
| Language: | English |
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Hindawi Publishing Corporation
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948476/ |
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pubmed-3948476 |
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pubmed-39484762014-04-03 Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees Akram, Muhammad Alshehri, N. O. Research Article 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. Hindawi Publishing Corporation 2014-02-18 /pmc/articles/PMC3948476/ /pubmed/24701155 http://dx.doi.org/10.1155/2014/305836 Text en Copyright © 2014 M. Akram and N. O. Alshehri. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Akram, Muhammad Alshehri, N. O. |
| spellingShingle |
Akram, Muhammad Alshehri, N. O. Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| author_facet |
Akram, Muhammad Alshehri, N. O. |
| author_sort |
Akram, Muhammad |
| title |
Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| title_short |
Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| title_full |
Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| title_fullStr |
Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| title_full_unstemmed |
Intuitionistic Fuzzy Cycles and Intuitionistic Fuzzy Trees |
| title_sort |
intuitionistic fuzzy cycles and intuitionistic fuzzy trees |
| description |
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. |
| publisher |
Hindawi Publishing Corporation |
| publishDate |
2014 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3948476/ |
| _version_ |
1612066056720875520 |