On Graph Structures in Fuzzy Environment Using Optimization Parameter
This paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after valida...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9435189/ |
id |
doaj-ab91d7fecbb9419c82ca701416b32d26 |
---|---|
record_format |
Article |
spelling |
doaj-ab91d7fecbb9419c82ca701416b32d262021-06-02T23:19:49ZengIEEEIEEE Access2169-35362021-01-019756997571110.1109/ACCESS.2021.30815059435189On Graph Structures in Fuzzy Environment Using Optimization ParameterAtiq Ur Rehman0https://orcid.org/0000-0002-3199-3346Wojciech Salabun1https://orcid.org/0000-0001-7076-2519Shahzad Faizi2Muhammad Hussain3https://orcid.org/0000-0003-1768-3111Jaroslaw Watrobski4https://orcid.org/0000-0002-4415-9414Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanDepartment of Artificial Intelligence and Applied Mathematics, Research Team on Intelligent Decision Support Systems, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, Szczecin, PolandDepartment of Mathematics, Virtual University of Pakistan, Lahore, PakistanDepartment of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, PakistanInstitute of Management, University of Szczecin, Szczecin, PolandThis paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after validating with examples, accordingly. The notions of regular and <inline-formula> <tex-math notation="LaTeX">$m\mu _{k}$ </tex-math></inline-formula>-regular <italic>FGSs</italic> are described, where <inline-formula> <tex-math notation="LaTeX">$m\in$ </tex-math></inline-formula>]0, 1] represents the degree of all vertices in <inline-formula> <tex-math notation="LaTeX">$\widetilde {G}$ </tex-math></inline-formula> under mapping <inline-formula> <tex-math notation="LaTeX">$\mu _{k}$ </tex-math></inline-formula>, and develop certain properties of regular <italic>WMFGSs</italic>. In addition, we create a flowchart to present common application procedures of fuzzy graphical frameworks to classify the advanced city out of some important Pakistani cities subject to certain parameters.https://ieeexplore.ieee.org/document/9435189/Fuzzy graph structureweighted mean productvertex degreevertex total degreeregular fuzzy graph structure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Atiq Ur Rehman Wojciech Salabun Shahzad Faizi Muhammad Hussain Jaroslaw Watrobski |
spellingShingle |
Atiq Ur Rehman Wojciech Salabun Shahzad Faizi Muhammad Hussain Jaroslaw Watrobski On Graph Structures in Fuzzy Environment Using Optimization Parameter IEEE Access Fuzzy graph structure weighted mean product vertex degree vertex total degree regular fuzzy graph structure |
author_facet |
Atiq Ur Rehman Wojciech Salabun Shahzad Faizi Muhammad Hussain Jaroslaw Watrobski |
author_sort |
Atiq Ur Rehman |
title |
On Graph Structures in Fuzzy Environment Using Optimization Parameter |
title_short |
On Graph Structures in Fuzzy Environment Using Optimization Parameter |
title_full |
On Graph Structures in Fuzzy Environment Using Optimization Parameter |
title_fullStr |
On Graph Structures in Fuzzy Environment Using Optimization Parameter |
title_full_unstemmed |
On Graph Structures in Fuzzy Environment Using Optimization Parameter |
title_sort |
on graph structures in fuzzy environment using optimization parameter |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2021-01-01 |
description |
This paper comprises the introduction of weighted mean products of fuzzy graph structures (<italic>FGSs</italic>) to construct weighted mean fuzzy graph structures (<italic>WMFGSs</italic>) with the help of optimization parameter, and establish some novel results after validating with examples, accordingly. The notions of regular and <inline-formula> <tex-math notation="LaTeX">$m\mu _{k}$ </tex-math></inline-formula>-regular <italic>FGSs</italic> are described, where <inline-formula> <tex-math notation="LaTeX">$m\in$ </tex-math></inline-formula>]0, 1] represents the degree of all vertices in <inline-formula> <tex-math notation="LaTeX">$\widetilde {G}$ </tex-math></inline-formula> under mapping <inline-formula> <tex-math notation="LaTeX">$\mu _{k}$ </tex-math></inline-formula>, and develop certain properties of regular <italic>WMFGSs</italic>. In addition, we create a flowchart to present common application procedures of fuzzy graphical frameworks to classify the advanced city out of some important Pakistani cities subject to certain parameters. |
topic |
Fuzzy graph structure weighted mean product vertex degree vertex total degree regular fuzzy graph structure |
url |
https://ieeexplore.ieee.org/document/9435189/ |
work_keys_str_mv |
AT atiqurrehman ongraphstructuresinfuzzyenvironmentusingoptimizationparameter AT wojciechsalabun ongraphstructuresinfuzzyenvironmentusingoptimizationparameter AT shahzadfaizi ongraphstructuresinfuzzyenvironmentusingoptimizationparameter AT muhammadhussain ongraphstructuresinfuzzyenvironmentusingoptimizationparameter AT jaroslawwatrobski ongraphstructuresinfuzzyenvironmentusingoptimizationparameter |
_version_ |
1721400006709084160 |